Engaging the cervical spinal cord circuitry to re-enable volitional control of hand function in tetraplegic subjects

Information

  • Patent Grant
  • 12076301
  • Patent Number
    12,076,301
  • Date Filed
    Thursday, August 19, 2021
    4 years ago
  • Date Issued
    Tuesday, September 3, 2024
    a year ago
Abstract
In various embodiments, methods are provided for applying transcutaneous and/or epidural spinal cord stimulation with and without selective pharmaceuticals to restore voluntary control of hand function in tetraplegic subjects.
Description
BACKGROUND

Serious spinal cord injuries (SCI) affect approximately 1.3 million people in the United States, and roughly 12-15,000 new injuries occur each year. Of these injuries, approximately 50% are complete spinal cord injuries in which there is essentially total loss of sensory motor function below the level of the spinal lesion.


Paralysis of the upper limbs results in an enormous loss of independence of one's daily life. Meaningful improvement in hand function is generally rare after one year of tetraparesis.


SUMMARY

In various embodiments, methods are provided for applying spinal cord stimulation with and without selective pharmaceuticals to restore voluntary control of hand function in tetraplegic subjects. The spinal cord stimulation can be transcutaneous and/or epidural. In various embodiments the electrical stimulation alone or in combination with pharmaceuticals can be applied to facilitate restoration of motor control and/or force generation in subjects suffering with spinal cord injury and/or as other neurological injury and illness that effects motor control of the hand or paw. Successful application can provide a device for widespread use in rehabilitation of neurologic injury and disease.


In particular illustrative embodiments, the devices, optional pharmacological agents, and methods described herein stimulate the spinal cord with, e.g., electrodes that modulate the proprioceptive and supraspinal information that controls the hands during reaching and/or grasping and/or manipulating conditions. Without being bound by a particular theory, it is believed the proprioceptive and cutaneous sensory information guides the activation of the muscles in a coordinated manner and in a manner that accommodates the external conditions.


Unlike approaches that involve specific stimulation of motor neurons to directly induce a movement, the methods described herein can enable the spinal circuitry to control the movements. More specifically, the devices, optional pharmacological agents, and methods described herein can exploit the spinal circuitry and its ability to interpret proprioceptive information and to respond to that proprioceptive information in a functional way. In various embodiments, this is in contrast to other approaches where the actual movement is induced/controlled by direct stimulation (e.g., of particular motor neurons).


Accordingly, in various aspects, the invention(s) contemplated herein may include, but need not be limited to, any one or more of the following embodiments:


Embodiment 1: A method of improving motor control and/or strength in a hand of a subject with a neuromotor disorder affecting motor control of the hand, said method including: neuromodulating the cervical spinal cord of the subject by administering stimulation to the cervical spinal cord or a region thereof and by administering to the subject at least one monoaminergic agonist. In some instances of Embodiment 1, the spinal cord stimulation can be transcutaneous and/or epidural.


Embodiment 2: The method of embodiment 1, wherein said method includes administering transcutaneous stimulation to the cervical spinal cord or a region thereof.


Embodiment 3: The method of embodiment 1, wherein said method includes administering epidural stimulation to the cervical spinal cord or a region thereof.


Embodiment 4: The method of embodiment 1, wherein said method includes administering a monoaminergic agonist to said subject.


Embodiment 5: The method of embodiment 1, wherein said method includes administering transcutaneous stimulation to the cervical spinal cord or a region thereof in conjunction with administration of a monoaminergic agonist.


Embodiment 6: The method of embodiment 1, wherein said method includes administering epidural stimulation to the cervical spinal cord or a region thereof in conjunction with administration of a monoaminergic agonist.


Embodiment 7: The method of embodiment 1, wherein said method includes administering transcutaneous stimulation to the cervical spinal cord or a region thereof in conjunction with epidural stimulation of the cervical spinal cord or a region thereof.


Embodiment 8: The method of embodiment 1, wherein said method includes administering transcutaneous stimulation to the cervical spinal cord or a region thereof in conjunction with epidural stimulation of the cervical spinal cord or a region thereof in conjunction with administration of a monoaminergic agonist to said subject.


Embodiment 9: The method according to any one of embodiments 1, 2, 5, 7, and 8, wherein said transcutaneous stimulation is at a frequency ranging from about 3 Hz, or from about 5 Hz, or from about 10 Hz to about 100 Hz, or to about 80 Hz, or to about 40 Hz, or from about 3 Hz or from about 5 Hz to about 80 Hz, or from about 5 Hz to about 30 Hz, or to about 40 Hz, or to about 50 Hz.


Embodiment 10: The method according to any one of embodiments 1, 2, 5, and 7-9, wherein said transcutaneous stimulation is applied at an intensity ranging from about 10 mA to about 150 mA, or from about 20 mA to about 50 mA or to about 100 mA, or from about 20 mA or from about 30 mA, or from about 40 mA to about 50 mA, or to about 60 mA, or to about 70 mA or to about 80 mA.


Embodiment 11: The method according to any one of embodiments 1, 2, 5, and 7-10, wherein said transcutaneous stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control.


Embodiment 12: The method according to any one of embodiments 1, 2, 5, and 7-11, wherein said transcutaneous stimulation is applied to the dorsal aspect of the neck in the area of C5.


Embodiment 13: The method according to any one of embodiments 1, 3, and 6-12, wherein said epidural stimulation is at a frequency ranging from about 3 Hz, or from about 5 Hz, or from about 10 Hz to about 100 Hz, or to about 80 Hz, or to about 40 Hz, or from about 3 Hz or from about 5 Hz to about 80 Hz, or from about 5 Hz to about 30 Hz, or to about 40 Hz, or to about 50 Hz.


Embodiment 14: The method according to any one of embodiments 1, 3, and 6-13, wherein said epidural stimulation is at an amplitude ranging from 0.05 mA to about 30 mA, or from about 0.1 mA to about 20 mA, or from about 0.1 mA to about 15 mA or to about 10 mA.


Embodiment 15: The method according to any one of embodiments 1, 3, and 6-14, wherein said pulse width ranges from about 150 μs to about 600 μs, or from about 200 μs to about 500 μs, or from about 200 μs to about 450 μs.


Embodiment 16: The method according to any one of embodiments 1, 3, and 6-15, wherein said epidural stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control.


Embodiment 17: The method according to any one of embodiments 1, 3, and 6-16, wherein said epidural stimulation is applied paraspinally over vertebrae spanning C2 to T1.


Embodiment 18: The method according to any one of embodiments 1, 3, and 6-16, wherein said epidural stimulation is applied paraspinally over vertebrae spanning C5 to T1.


Embodiment 19: The method according to any one of embodiments 1, 3, and 6-18, wherein said epidural stimulation is applied via a permanently implanted electrode array.


Embodiment 20: The method of embodiment 19, wherein said electrode array is a parylene based microelectrode implant.


Embodiment 21: The method according to any one of embodiments 1, 4, 5, 6, and 8-20, wherein the at least one monoaminergic agonist includes a drug selected from the group consisting of a serotonergic drug, a dopaminergic drug, a noradrenergic drug, a GABAergic drug, and a glycinergic drug.


Embodiment 22: The method of embodiment 21, where the agent is selected from the group consisting of 8-hydroxy-2-(di-n-propylamino)tetralin (8-OH-DPAT), 4-(benzodioxan-5-yl)1-(indan-2-yl)piperazine (S15535), N-{2-[4-(2-methoxyphenyl)-1-piperazinyl]ethyl}-N-(2-pyridinyl)cyclo-hexanecarboxamide (WAY 100.635), Quipazine, Ketanserin, 4-amino-(6-chloro-2-pyridyl)-1 piperidine hydrochloride (SR 57227A), Ondanesetron, Buspirone, Methoxamine, Prazosin, Clonidine, Yohimbine, 6-chloro-1-phenyl-2,3,4,5-tetrahydro-1H-3-benzazepine-7,8-diol (SKF-81297), 7-chloro-3-methyl-1-phenyl-1,2,4,5-tetrahydro-3-benzazepin-8-ol (SCH-23390), Quinpirole, and Eticlopride.


Embodiment 23: The method of embodiment 21, wherein said monoaminergic agonist is buspirone.


Embodiment 24: The method of embodiment 22, wherein said drug is 8-hydroxy-2-(di-n-propylamino)tetralin (8-OH-DPAT).


Embodiment 25: The method of embodiment 22, wherein said drug is 4-(benzodioxan-5-yl)1-(indan-2-yl)piperazine (S15535).


Embodiment 26: The method of embodiment 22, wherein said drug is N-{2-[4-(2-methoxyphenyl)-1-piperazinyl]ethyl}-N-(2-pyridinyl)cyclo-hexanecarboxamide (WAY 100.635).


Embodiment 27: The method of embodiment 22, wherein said drug is Quipazine.


Embodiment 28: The method of embodiment 22, wherein said drug is Ketanserin.


Embodiment 29: The method of embodiment 22, wherein said drug is 4-amino-(6-chloro-2-pyridyl)-1 piperidine hydrochloride (SR 57227A).


Embodiment 30: The method of embodiment 22, wherein said drug is Ondanesetron.


Embodiment 31: The method of embodiment 22, wherein said drug is Methoxamine.


Embodiment 32: The method of embodiment 22, wherein said drug is Prazosin.


Embodiment 33: The method of embodiment 22, wherein said drug is Clonidine.


Embodiment 34: The method of embodiment 22, wherein said drug is Yohimbine.


Embodiment 35: The method of embodiment 22, wherein said drug is 6-chloro-1-phenyl-2.


Embodiment 36: The method of embodiment 22, wherein said drug is 3,4,5-tetrahydro-1H-3-benzazepine-7.


Embodiment 37: The method of embodiment 22, wherein said drug is 8-diol (SKF-81297).


Embodiment 38: The method of embodiment 22, wherein said drug is 7-chloro-3-methyl-1-phenyl-1,2,4,5-tetrahydro-3-benzazepin-8-ol (SCH-23390).


Embodiment 39: The method of embodiment 21, wherein said drug is Quinpirole.


Embodiment 40: The method of embodiment 21, wherein said drug is and Eticlopride.


Embodiment 41: The method according to any one of embodiments 1 and 4-40, wherein a combination of transcutaneous and/or epidural stimulation and monoaminergic agonist provides a synergistic improvement in hand strength and/or fine hand control.


Embodiment 42: The method according to any one of embodiments 1-41, wherein said subject is a human. In some embodiments, the subject is a non-human mammal.


Embodiment 43: The method according to any one of embodiments 1-42, wherein said subject has a spinal cord injury.


Embodiment 44: The method of embodiment 43, wherein said spinal cord injury is clinically classified as motor complete.


Embodiment 45: The method of embodiment 43, wherein said spinal cord injury is clinically classified as motor incomplete.


Embodiment 46: The method according to any one of embodiments 1-42, wherein said subject has an ischemic brain injury.


Embodiment 47: The method of embodiment 46, wherein said ischemic brain injury is brain injury from stroke or acute trauma.


Embodiment 48: The method according to any one of embodiments 1-42, wherein said mammal has a neurodegenerative pathology.


Embodiment 49: The method of embodiment 48, wherein said neurodegenerative pathology is associated with a condition selected from the group consisting of Parkinson's disease, Huntington's disease, Alzheimer's disease, amyotrophic lateral sclerosis (ALS), primary lateral sclerosis (PLS), dystonia, and cerebral palsy.


Embodiment 50: The method according to any one of embodiments 1-49, wherein the stimulation is under control of the subject.


Embodiment 51: The method according to any one of embodiments 1-50, wherein said method further includes physical training of said subject.


Embodiment 52: The method of embodiment 51, wherein said physical training includes hand contraction against a resistance.


Embodiment 53: The method according to any one of embodiments 51-52, wherein said physical training includes tracing a displayed pattern by hand manipulation of a hand controller.


Embodiment 54: An electrical stimulator configured to induce epidural and/or transcutaneous electrical stimulation in the cervical region of a mammal according to any one of embodiments 1-20.


DEFINITIONS

As used herein “electrical stimulation” or “stimulation” means application of an electrical signal that may be either excitatory or inhibitory to a muscle or neuron and/or to groups of neurons and/or interneurons. It will be understood that an electrical signal may be applied to one or more electrodes with one or more return electrodes.


As used herein “epidural” means situated upon the dura or in very close proximity to the dura. The term “epidural stimulation” refers to electrical epidural stimulation. In certain embodiments epidural stimulation is referred to as “electrical enabling motor control” (eEmc).


The term “transcutaneous stimulation” or “transcutaneous electrical stimulation” or “cutaneous electrical stimulation” refers to electrical stimulation applied to the skin, and, as typically used herein refers to electrical stimulation applied to the skin in order to effect stimulation of the spinal cord or a region thereof. The term “transcutaneous electrical spinal cord stimulation” may also be referred to as “tSCS”. The term “pcEmc” refers to painless cutaneous electrical stimulation.


The term “motor complete” when used with respect to a spinal cord injury indicates that there is no motor function below the lesion, (e.g., no movement can be voluntarily induced in muscles innervated by spinal segments below the spinal lesion.


The term “monopolar stimulation” refers to stimulation between a local electrode and a common distant return electrode.


The term “co-administering”, “concurrent administration”, “administering in conjunction with” or “administering in combination” when used, for example with respect to transcutaneous electrical stimulation, epidural electrical stimulation, and pharmaceutical administration, refers to administration of the transcutaneous electrical stimulation and/or epidural electrical stimulation and/or pharmaceutical such that various modalities can simultaneously achieve a physiological effect on the subject. The administered modalities need not be administered together, either temporally or at the same site. In some embodiments, the various “treatment” modalities are administered at different times. In some embodiments, administration of one can precede administration of the other (e.g., drug before electrical stimulation or vice versa). Simultaneous physiological effect need not necessarily require presence of drug and the electrical stimulation at the same time or the presence of both stimulation modalities at the same time. In some embodiments, all the modalities are administered essentially simultaneously.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1, panels A-I, illustrates improvement in hand function with interventions. Assessments of grip strength were made in 6 paralyzed subjects on 6 days of testing over 6 weeks Pre-Treatment (Phase 1, Pre Treat), followed by 4 days of testing over 2 weeks with pcEMC (Phase 2, +Stim, −Busp), followed by 4 days of testing over 2 weeks with pcEMC plus oral buspirone (Phase 3, +Stim, +Busp), followed by 4 days of testing over 2 weeks with pcEmc plus placebo (Phase 4, +Stim, −Busp), and followed by 4 days of testing over 2 weeks Post-Treatment after a 3-6 month delay (Phase 5, Post Treat) (Panels A-F). Mean (±SEM) grip strength for all 6 subjects (G), EMG amplitudes as percent increase over baseline (Pre Treat) levels (panel H), ARAT and upper extremity ASIA functional scores (panel I) are shown. Horizontal lines indicate significant differences at P<0.05, P<0.01, or P<0.001. FD, flexor digitorum; ED, extensor digitorum; Brac, brachioradialis; Bicep, biceps brachii; tricep, triceps brachii.



FIG. 2, panels A-L, shows motor performance relative to eEmc parameters. Subject E (C5 injury, ASIA panel B) was implanted with a 16-channel cervical epidural stimulation paddle array spanning spinal cord levels C5-T1, arrow pointing to electrode array (panels A and B). Prior to permanent implant, two parallel, temporary percutaneous linear electrodes were implanted. To assess hand control, the ability to accurately follow a targeted sign wave (panel C) and to perform rapid oscillations (panel D), and the maximal voluntary contraction (panel E) were determined during the initial day of eEmc before (Pre), during (Stim), and after (Post) stimulation (cathodes at C3 and anodes at T2, 30 Hz, 3.0 mA). After permanent paddle electrode implantation, stimulation at electrodes #13 and #14 (refer to schematic in panel B) was performed with the subject passive (Baseline) and when the subject attempted a voluntary contraction (Voluntary). Mean (±SEM, 3 trials for each condition) grip force during Baseline and Voluntary testing at varying stimulation frequencies (panel F) and intensities (panel G) are shown. Optimal stimulation parameters to affect hand function were assessed (panels H-J). Time to actuate the handgrip device (response time) was assessed at different stimulation frequencies and intensities (±SEM, 3 trials for each condition) (panel H). The parameter of 20 Hz, 0.7 mA elicited the shortest response time. Likewise, eEmc facilitated handgrip oscillation with doubling of oscillation ability compared to Pre and Post conditions of no stimulation (representative tracings shown) (panel I). Accuracy score during sinusoidal wave testing in response to varying frequencies of stimulation was assessed with the best scores observed at 20 Hz (±SEM, 3 trials for each condition) (panel J). Assessment of accuracy score over different sessions revealed chronic improvement with sinusoidal wave test (±SEM, 24 trials for each condition at electrode combinations of +13-14 and +13-6, 5-30 Hz, 0.7 mA) (panel K). These improvements in hand function in response to eEmc were evident in the acute improvements in clinical ARAT score with multi-site electrode combination (Stim) (70% at −12+3, 30% at −12+4, 5 Hz, 0.9 mA) (panel L). The improvement of 6 points in ARAT score reflects a clinically significant event. This 20% increase reflects improvements in all categories measured by ARAT and is above the minimal clinically important difference of 5.7 points established for this instrument (van der Lee et al. (2001)J. Rehabil. Med. 33: 110-113), demonstrating the relevance of this intervention in improving upper extremity function.



FIG. 3, panels A-E, shows hand grip force and evoked potentials in Subject E. Handgrip force and EMG during a maximum handgrip performed without (panel A) and with eEmc (panel B) of the cervical spinal cord (electrodes +13-14, 10 Hz, 1 mA). In (panel B), the initial stimulation phase without any voluntary effort (blue shaded area), the voluntary contraction phase (red shaded area), and the relaxation phase of the voluntary effort (green shaded area) are shown. At least twenty evoked potentials in each muscle were averaged during each phase. Note that an evoked potential was clearly evident in all muscles during the contraction and relaxation phases, but only in the H. thenar during the initial stimulation phase without any voluntary effort. The effect of frequency of stimulation on the average evoked potentials for 3 sec during the initial stimulation phase without any voluntary effort and during the voluntary contraction phase in each muscle are shown in panel C. The data demonstrate a substantially reduced evoked response in all muscles at the higher frequencies (20 and 30 Hz) during the voluntary contraction phase, but no substantial loss of force. The increase in force and two components of the EMG signal of the FD muscle during the initial phase of contraction is shown in panel E. The iEMG is divided into the energy (pV.sec) derived from evoked potentials synchronized with the stimulation pulses (20 Hz) and the total iEMG energy, i.e., the combination of the synchronized signals and that occurring randomly with respect to the stimulation pulses. The samples used for plotting the force are separated into those time bins when the EMG signals are largely alternating in amplitude. The + sign represents bins with the lowest amplitude and the triangles represent those with the highest amplitudes. The presence or absence of the lower synchronized signal had no impact on the force generated during a given time bin. H. Thenar, hypothenar; ER evoked response.



FIG. 4, panels A-H, shows handgrip forces and evoked responses at different % maximum efforts in Subject E. Handgrip force for a maximum contraction at the beginning of testing (100% Pre) followed by 7 consecutive contractions (5 sec between each contraction, and 5 min of rest between different efforts) at 10 (red), 25 (blue), 75 (green) % effort, and after 10 min of rest for a maximum contraction at the end of testing (100% Post) with no stimulation (A). The FD integrated EMG (iEMG) within this series of efforts is shown in (B). Numbers above the bars in (B), (D), and (F) are linked to the contraction numbers as labeled in (A). Fifteen min after the completion of (A), the same series of contractions were repeated in the presence of increasing intensities of stimulation ((C) and (D)). In this case, fatigue was evident at 0.7 and 0.5 mA when the subject was exerting 25 and 75% effort, respectively. Stimulation at the higher intensities enabled the subject to overcome substantial levels of fatigue. Additionally, there was an associated increase in iEMG compared to the initial contractions without fatigue as well as those in which fatigue occurred (D). To determine whether this fatigue effect was associated with repetitive contractions on the same day as in (A) and (C), on a separate day the same series of efforts at the same level of stimulation intensities were examined. In this case, there was no obvious fatigue (E) at any stimulation intensity as indicated by the constant forces and only minor increases in iEMG (F). The patterns of evoked potentials at selected percent efforts and at different strengths of stimulation when there was substantial fatigue and when there was no apparent fatigue is shown in (G) and (H), corresponding to iEMG (D) and (F), respectively. In spite of the absence of evidence of fatigue as indicated by the force with repeated contractions, to maintain that force may require higher intensities of stimulation to sustain the forces generated at the end of each series of contractions at a given percent effort (H). Stimulation parameters were electrode pattern of −13+14, 20 Hz, 0-1.3 mA.



FIG. 5, panels A-F, shows sagittal T2 MRI Imaging demonstrating location of cervical spinal cord injury of subjects A-F, approximating C2 (panel C), C5 (panels B, D, E) or C6 (panels A, F) spinal cord segment. Normal tissue at injury location is replaced by a high intensity signal representing a glial scar. Spinal cord tissue distal and proximal to the injury locus is seen to be intact without evidence of post-traumatic syrinx formation or on-going compressive lesion.



FIG. 6, panels A-C, shows that baseline testing (Phase 1) demonstrates stable hand function by handgrip device (panel A) and ARAT and ASIA scores (panel B) prior to initiation of any intervention. Maximal handgrip force on the last day of testing is not different from the first day of testing in the 6 subjects (panel A). Testing during this phase spanned a period of 6 weeks with bi-weekly testing sessions. Each data point represents an average of 3 maximal handgrip contractions. Clinical testing by ARAT and ASIA scores demonstrated no evidence of improvement during this initial baseline testing period (panel B).



FIG. 7, panels A-I, show amplitudes of spinal cord evoked potentials induced by cathode-anode epidural electrode pairs with a range of currents and frequencies starting from the rostral to caudal spinal cord (refer to FIG. 2B for electrode configuration). The amplitude of the potentials demonstrates the relative responsiveness of each motor pool to the stimulation at a specific spinal location at a given level of current and frequency. The cathode-anode pair of −13+14 produced the most activation of muscles associated with hand function, i.e., H. Thenar and FD, and was used for most of the study.



FIG. 8 shows upper extremity motor ASIA Impairment Score of Subject E. Motor function was assessed at the beginning and conclusion of the study, demonstrating a clinically significant 23-point increase during the study period.





DETAILED DESCRIPTION

Embodiments described herein provide methods for applying spinal cord stimulation with and without selective pharmaceuticals to restore voluntary control of upper extremity function in tetraplegic subjects. In some embodiments, the upper extremity or extremities can be the hands. The spinal cord stimulation can be transcutaneous, epidural, or a combination thereof. The spinal cord stimulation alone or in combination with pharmaceuticals can be applied to facilitate restoration of motor control and/or force generation in individuals with spinal cord injuries.


As demonstrated herein in the Examples, an injured cervical spinal cord (e.g., a human cervical spinal cord) can be modulated using painless cutaneous electrical stimulation (pcEmc), monoaminergic agonist (fEmc) treatment, and/or eEmc to regain voluntary hand function. In some embodiments, mean hand strength can be increased by greater than 300% after pcEmc plus fEmc (buspirone) treatment. This was demonstrated in 6 subjects with a chronic motor complete cervical injury. One subject that was implanted with a cervical epidural electrode array realized significantly improved hand strength and fine hand control in the presence of cervical eEmc. Thus, the cervical circuitry can be neuromodulated to improve volitional control of hand function in tetraplegic subjects with one or more interventions: transcutaneous electrical stimulation (e.g., pcEMC), and/or monoaminergic agonist administration (fEmc), and/or epidural electrical stimulation (eEmc). In some embodiments, the impact of the herein described methods on individuals with upper limb paralysis can be dramatic functionally, psychologically, and economically.


Accordingly, in various embodiments, methods are provided for improving motor control and/or strength in a hand (or paw) of a subject with a neuromotor disorder affecting motor control of the hand (or paw). In various embodiments, the methods involve neuromodulating the cervical spinal cord of the subject by administering transcutaneous stimulation to the cervical spinal cord or a region thereof, and/or neuromodulating the cervical spinal cord of said subject by administering epidural stimulation to the cervical spinal cord or a region thereof; and/or by administering to the subject a monoaminergic agonist (or other neuromodulatory pharmaceutical).


In some embodiments, neuromodulatory strategies can be used to improve fine motor control of the upper limbs, i.e., performance of motor tasks considered to be less “automatic” than posture and locomotion. These strategies can neuromodulate the lumbosacral spinal circuitry via epidural stimulation (electrical enabling motor control, eEmc)


In various embodiments, these methods can, optionally, be used in combination with physical training regimen. And in some embodiments, the pharmaceutical can be buspirone.


The methods described herein are for use with a mammal (e.g., a human, a mamal (e.g., a non-human primate, equine, feline, canus, etc.) who has a spinal cord with at least one dysfunctional spinal circuit that inhibits motor control and/or strength in a hand or paw and/or who exhibits another neuropathology that inhibits motor control and/or strength in a hand or paw. In one embodiment, the mammal is a human. As described herein, ranscutaneous electrical stimulation of the cervical spinal cord or a region thereof, and/or epidural stimulation of the cervical spinal cord, or a region thereof, and/or use of a neuromodulatory agent (e.g., a monoaminergic agent) can improve and/or restore motor control and/or strength to a hand or paw.


In some embodiments, hand function can be improved by neuromodulating the cervical spinal cord. Six subjects with chronic (18-36 months) spinal cord injury (SCI, traumatic cervical injury, ASIA B with no motor strength below the injury) were tested. All subjects initially had minimal hand strength, a condition characteristic of the majority of cervical SCI patients. The experimental approach began with six weeks of baseline testing (Phase 1), followed by three 2-week treatment periods (phases 2-4), and then by a period of approximately three months without any treatment at the end of which there was a final two week testing period (Phase 5). pcEmc at the C5 spinal segment (Phase 2) increased hand strength in 4/6 subjects compared to baseline Phase 1. During buspirone treatment (Phase 3), 4/6 subjects increased hand strength compared to Phase 1 and 2. The next 2 weeks buspirone was withdrawn but pcEmc continued (Phase 4), and again 4/6 subjects showed further improvement in grip strength compared to Phase 3. For all subjects combined, the mean grip strength tended to increase after each successive treatment phase. EMG amplitudes were generally consistent with increases in grip force, i.e., digit flexor and extensor EMG amplitudes tended to increase progressively across phases. After approximately three months without treatment, 4/6 subjects improved their performance relative to Phase 4.


These results show that the cervical spinal cord can be neuromodulated using two paradigms, i.e., electrically and pharmacologically. Moreover, these data indicate that non-functional networks can become engaged and progressively improve motor performance. In addition, the further improvement in hand function after withdrawing pcEMC and fEMC suggests that once functional connections are established they remain active.


Accordingly, the methods described herein are useful to improve and/or restore motor function to the hand or paw of a subject having paralysis affecting that hand or paw. In various embodiments, the methods provide that the spinal circuitry is neuromodulated to a physiological state that facilitates or enables the recovery or improved control of movement or improved strength of a hand or paw following some neuromotor dysfunction.


In some embodiments the paralysis effecting the hand or paw may be a motor complete paralysis or a motor incomplete paralysis. In certain embodiments the paralysis may have been caused by a spinal cord injury classified as motor complete or motor incomplete. The paralysis may have been caused by an ischemic or traumatic brain (or spinal) injury. In certain embodiments the paralysis may have been caused by an ischemic brain injury resulting from a stroke or acute trauma. By way of another example, the paralysis may have been caused by a neurodegenerative condition affecting the brain and/or spinal cord. In certain embodiments the neurodegenerative injury may be associated with a disease such as Parkinson's disease, Huntington's disease, Alzheimer's disease, frontotemporal dementia, dystonia, amyotrophic lateral sclerosis (ALS), primary lateral sclerosis (PLS), and other conditions such as cerebral palsy and multiple sclerosis (MS).


By way of non-limiting example, in certain embodiments, the methods described herein comprises application of electrical stimulation to the cervical spinal cord or a portion thereof of the subject. The electrical stimulation may be applied by a surface electrode(s) that is applied to the skin surface of the subject to provide a transcutaneous stimulation. Additionally, or alternatively, the electrical stimulation can be provided epidurally (e.g., via an implanted electrode or electrode array).


In various embodiments, the electrodes may; be implanted along, and/or the stimulation may be applied to the entire cervical spine (e.g., C1-T1) or to a region therein (e.g., C2-C7, C3-C7, C3-C6, C3-C5, C4-C7, C4-C6, C4-C5, C5, etc.). The electrical stimulation is delivered, e.g., as described herein (e.g., at 5-40 Hz at 20-100 mA). While not a requirement, the electrical stimulation may not directly activate muscle cells in the portion of the patient's body having the paralysis. In certain embodiments the electrodes (surface and/or implanted) may include an array of one or more electrodes stimulated in a monopolar biphasic configuration.


In various embodiments, the stimulation may include tonic stimulation and/or intermittent stimulation. The stimulation may include simultaneous or sequential stimulation, or combinations thereof, of different cord regions (e.g., different regions within the cervical spinal cord, or a region within the cervical spinal cord and another regions outside the cervical spinal cord). Optionally, in certain embodiments, the stimulation pattern may be under control of the subject.


In certain embodiments, the method(s) may include administering one or more neuropharmaceutical agents to the subject. The neuropharmaceutical agents may include, for example, a monoaminergic agent (e.g., buspirone).


In certain embodiments, the electrical stimulation is defined by a set of parameter values (e.g., frequency, amplitude, pulse width, etc.), and activation of the selected spinal circuit may (but need not) generate a quantifiable result. Optionally, the method may be repeated using electrical stimulation having different sets of parameter values to obtain quantifiable results generated by each repetition of the method. In certain embodiments a machine learning method may be executed by at least one computing device. The machine learning method builds a model of a relationship between the electrical stimulation applied to the spinal cord and the quantifiable results generated by activation of the at least one spinal circuit. A new set of parameters may be selected based on the model. By way of a non-limiting example, the machine learning method may implement a Gaussian Process Optimization, e.g., as described in PCT Publication No: WO/2012/094346 (PCT/US2012/020112).


In various embodiments, the methods described herein may further incorporate physical training. In certain embodiments, the physical training may include inducing a resistance-providing positional change in the region of the subject where locomotor activity is to be facilitated (e.g., the hand and/or finger(s)). The positional change in the subject may include, but need not be limited to grasping and/or tracking. In certain embodiments, the physical training may include robotically guided training.


Another exemplary embodiment is a method that includes placing an electrode on the subject's cervical spinal cord, positioning the patient in a training device configured to assist with physical training that is configured to induce neurological signals in the hand or paw, and applying electrical stimulation to a portion of the cervical spinal cord of the subject.


Transcutaneous Stimulation of a Region of the Cervical Spine.


The location of the electrode and its stimulation parameters are important in defining motor response. Use of surface electrode(s), as described herein, facilitates selection or alteration of particular stimulation sites as well as the application of a wide variety of stimulation parameters. Additionally surface stimulation can be used to optimize location for an implantable electrode or electrode array for epidural stimulation.


In various embodiments, the methods described herein involve transcutaneous electrical stimulation of the cervical spine or a region of the cervical spine of the subject. Illustrative regions include, but are not limited to one or more regions straddling or spanning a region selected from the group consisting of C1-C1, C1-C2, C1-C3, C1-C4, C1-C7, C1-C6, C1-C7, C1-T1, C2-C2, C2-C3, C2-C4, C2-C5, C2-C6, C2-C7, C2-T1, C3-C3, C3-C4, C3-C5, C3-C6, C3-C7, C3-T1, C4-C4, C4-C5, C4-C6, C4-C7, C4-T1, C5-C5, C5-C6, C5-C7, C5-T1, C6-C6, C6-C7, C6-T1, C7-C7, and C7-T1.


In certain embodiments, the stimulation is stimulation at a frequency ranging from about 3 Hz, or from about 5 Hz, or from about 10 Hz to about 100 Hz, or to about 80 Hz, or to about 40 Hz, or from about 3 Hz or from about 5 Hz to about 80 Hz, or from about 5 Hz to about 30 Hz, or to about 40 Hz, or to about 50 Hz.


In certain embodiments, the transcutaneous stimulation is applied at an intensity ranging from about 10 mA to about 150 mA, or from about 20 mA to about 50 mA or to about 100 mA, or from about 20 mA or from about 30 mA, or from about 40 mA to about 50 mA, or to about 60 mA, or to about 70 mA or to about 80 mA.


In certain embodiments, the transcutaneous stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control when applied in conjunction with a neuromodulatory agent (e.g., a monoaminergic agent). In certain embodiments the transcutaneous stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control when applied in conjunction with an epidural stimulation of the cervical spinal cord or a region thereof. In certain embodiments the transcutaneous stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control when applied in conjunction with a neuromodulatory agent (e.g., a monoaminergic agent) and epidural stimulation of the cervical spinal cord or a region thereof. In certain embodiments the transcutaneous stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control when utilized without epidural stimulation and/or without a neuromodulatory agent.


Epidural Stimulation of a Region of the Cervical Spine


In various embodiments, the methods described herein involve epidural electrical stimulation of the cervical spine or a region of the cervical spine of the subject. Illustrative regions include, but are not limited to, one or more regions straddling or spanning a region selected from the group consisting of C1-C1, C1-C2, C1-C3, C1-C4, C1-C7, C1-C6, C1-C7, C1-T1, C2-C2, C2-C3, C2-C4, C2-C5, C2-C6, C2-C7, C2-T1, C3-C3, C3-C4, C3-C5, C3-C6, C3-C7, C3-T1, C4-C4, C4-C5, C4-C6, C4-C7, C4-T1, C5-C5, C5-C6, C5-C7, C5-T1, C6-C6, C6-C7, C6-T1, C7-C7, and C7-T1.


In certain embodiments, the epidural stimulation is at a frequency ranging from about 3 Hz, or from about 5 Hz, or from about 10 Hz to about 100 Hz, or to about 80 Hz, or to about 40 Hz, or from about 3 Hz or from about 5 Hz to about 80 Hz, or from about 5 Hz to about 30 Hz, or to about 40 Hz, or to about 50 Hz.


In certain embodiments, the epidural stimulation is at an amplitude ranging from 0.05 mA to about 30 mA, or from about 0.1 mA to about 20 mA, or from about 0.1 mA to about 15 mA or to about 10 mA.


In certain embodiments, the pulse width ranges from about 150 μs to about 600 μs, or from about 200 μs to about 500 μs, or from about 200 μs to about 450 μs.


In certain embodiments, the epidural stimulation is at a frequency and amplitude sufficient to improve hand strength and/or fine hand control. In certain embodiments the epidural stimulation is applied paraspinally over a cervical region identified above (e.g., over vertebrae spanning C2 to T1, over vertebrae spanning C5 to T1, etc.).


In certain embodiments, the epidural stimulation is applied via a permanently implanted electrode array (e.g., a typical density electrode array, a high density electrode array, etc.).


In certain embodiments, the epidural electrical stimulation is administered via a high density epidural stimulating array (e.g., as described in PCT Publication No: WO/2012/094346 (PCT/US2012/020112). In certain embodiments, the high density electrode arrays are prepared using microfabrication technology to place numerous electrodes in an array configuration on a flexible substrate. In some embodiments, epidural array fabrication methods for retinal stimulating arrays can be used in the methods described herein (see, e.g., Maynard (2001)Annu. Rev. Biomed. Eng., 3: 145-168; Weiland and Humayun (2005) IEEE Eng. Med. Biol. Mag., 24(5): 14-21, and U.S. Patent Publications 2006/0003090 and 2007/0142878). In various embodiments, the stimulating arrays comprise one or more biocompatible metals (e.g., gold, platinum, chromium, titanium, iridium, tungsten, and/or oxides and/or alloys thereof) disposed on a flexible material. Flexible materials can be selected from parylene A, parylene C, parylene AM, parylene F, parylene N, parylene D, other flexible substrate materials, or combinations thereof. Parylene has the lowest water permeability of available microfabrication polymers, is deposited in a uniquely conformal and uniform manner, has previously been classified by the FDA as a United States Pharmacopeia (USP) Class VI biocompatible material (enabling its use in chronic implants) (Wolgemuth, Medical Device and Diagnostic Industry, 22(8): 42-49 (2000)), and has flexibility characteristics (Young's modulus ˜4 GPa (Rodger and Tai (2005) IEEE Eng. Med. Biology, 24(5): 52-57)), lying in between those of PDMS (often considered too flexible) and most polyimides (often considered too stiff). Finally, the tear resistance and elongation at break of parylene are both large, minimizing damage to electrode arrays under surgical manipulation. The preparation and parylene microelectrode arrays suitable for use in the epidural stimulation methods described herein is described in PCT Publication No: WO/2012/100260 (PCT/US2012/022257).


The electrode array may be implanted using any of a number of methods (e.g., a laminectomy procedure) well known to those of skill in the art.


In various embodiments, the arrays are operably linked to control circuitry that permits selection of electrode(s) to activate/stimulate and/or that controls frequency, and/or pulse width, and/or amplitude of stimulation. In various embodiments, the electrode selection, frequency, amplitude, and pulse width are independently selectable, e.g., at different times, different electrodes can be selected. At any time, different electrodes can provide different stimulation frequencies and/or amplitudes. In various embodiments, different electrodes or all electrodes can be operated in a monopolar mode and/or a bipolar mode, using constant current or constant voltage delivery of the stimulation.


In certain embodiments, the electrodes can also be provided with implantable control circuitry and/or an implantable power source. In various embodiments, the implantable control circuitry can be programmed/reprogrammed by use of an external device (e.g., using a handheld device that communicates with the control circuitry through the skin). The programming can be repeated as often as necessary.


Any present or future developed stimulation system capable of providing an electrical signal to one or more regions of the cervical spinal cord may be used in accordance with the teachings provided herein. In various embodiments, the system may comprise an external pulse generator. In other embodiments the system may comprise an implantable pulse generator to produce a number of stimulation pulses that are sent to the a region in proximity to the cervical spinal cord by insulated leads coupled to the spinal cord by one or more electrodes and/or an electrode array. In certain embodiments the one or more electrodes or one or more electrodes comprising the electrode array may be attached to separate conductors included within a single lead. Any known or future developed lead useful for applying an electrical stimulation signal in proximity to a subject's spinal cord may be used. For example, the leads may be conventional percutaneous leads, such as PISCES® model 3487A sold by Medtronic, Inc. In some embodiments, it may be desirable to employ a paddle-type lead.


Any known or future developed external or implantable pulse generator may be used in accordance with the teachings provided herein. For example, one internal pulse generator may be an ITREL® II or Synergy pulse generator available from Medtronic, Inc, Advanced Neuromodulation Systems, Inc.'s GENESIS™ pulse generator, or Advanced Bionics Corporation's PRECISION™ pulse generator. One of skill in the art will recognize that the above-mentioned pulse generators may be advantageously modified to deliver therapy in accordance with the teachings provided herein.


In certain embodiments systems can employ a programmer coupled via a conductor to a radio frequency antenna. This system permits attending medical personnel to select the various pulse output options after implant using radio frequency communications. While, in certain embodiments, the system employs fully implanted elements, systems employing partially implanted elements may also be used in accordance with the teachings provided herein.


In one illustrative, but non-limiting system, a control module is operably coupled to a signal generation module and instructs the signal generation module regarding the signal to be generated. For example, at any given time or period of time, the control module may instruct the signal generation module to generate an electrical signal having a specified pulse width, frequency, intensity (current or voltage), etc. The control module may be preprogrammed prior to implantation or receive instructions from a programmer (or another source) through any known or future developed mechanism, such as telemetry. The control module may include or be operably coupled to memory to store instructions for controlling the signal generation module and may contain a processor for controlling which instructions to send to signal generation module and the timing of the instructions to be sent to signal generation module. In various embodiments, leads are operably coupled to signal generation module such that a stimulation pulse generated by signal generation module may be delivered via electrodes.


While in certain embodiments, two leads are utilized, it will be understood that any number of one or more leads may be employed. In addition, it will be understood that any number of one or more electrodes per lead may be employed. Stimulation pulses are applied to electrodes (which typically are cathodes) with respect to a return electrode (which typically is an anode) to induce a desired area of excitation of electrically excitable tissue in a region of the cervical spine. A return electrode such as a ground or other reference electrode can be located on same lead as a stimulation electrode. However, it will be understood that a return electrode may be located at nearly any location, whether in proximity to the stimulation electrode or at a more remote part of the body, such as at a metallic case of a pulse generator. It will be further understood that any number of one or more return electrodes may be employed. For example, there can be a respective return electrode for each cathode such that a distinct cathode/anode pair is formed for each cathode.


The epidural electrode stimulation systems described herein are intended to be illustrative and non-limiting. Using the teachings provided herein, alternative epidural stimulation systems and methods will be available to one of skill in the art.


Use of Neuromodulatory Agents.


In certain embodiments, the transcutaneous and/or epidural stimulation methods described herein are used in conjunction with various pharmacological agents, particularly pharmacological agents that have neuromodulatory activity (e.g., are monoamergic). In certain embodiments, the use of various serotonergic, and/or dopaminergic, and/or noradrenergic, and/or GABAergic, and/or glycinergic drugs is contemplated. These agents can be used in conjunction with epidural stimulation and/or transcutaneous stimulation and/or physical therapy as described above. This combined approach can help to put the spinal cord (e.g., the cervical spinal cord) in an optimal physiological state for controlling a range of hand movements.


In certain embodiments, the drugs are administered systemically, while in other embodiments, the drugs are administered locally, e.g., to particular regions of the spinal cord. Drugs that modulate the excitability of the spinal neuromotor networks include, but are not limited to combinations of noradrenergic, serotonergic, GABAergic, and glycinergic receptor agonists and antagonists.


Dosages of at least one drug or agent can be between about 0.001 mg/kg and about 10 mg/kg, between about 0.01 mg/kg and about 10 mg/kg, between about 0.01 mg/kg and about 1 mg/kg, between about 0.1 mg/kg and about 10 mg/kg, between about 5 mg/kg and about 10 mg/kg, between about 0.01 mg/kg and about 5 mg/kg, between about 0.001 mg/kg and about 5 mg/kg, or between about 0.05 mg/kg and about 10 mg/kg.


Drugs or agents can be delivery by injection (e.g., subcutaneously, intravenously, intramuscularly), orally, rectally, or inhaled.


Illustrative pharmacological agents include, but are not limited to, agonists and antagonists to one or more combinations of serotonergic: 5-HT1A, 5-HT2A, 5-HT3, and 5HT7 receptors; to noradrenergic alpha 1 and 2 receptors; and to dopaminergic D1 and D2 receptors (see, e.g., Table 1).









TABLE 1







Illustrative pharmacological agents.
















Typical
Typical






Dose
Range


Name
Target
Action
Route
(mg/Kg)
(mg/kg)










Serotonergic receptor systems












8-OHDPAT
5-HT1A7
Agonist
S.C.
0.05
0.045-0.3 


Way 100.635
5-HT1A
Antagonist
I.P.
0.5
0.4-1.5


Quipazine
5-HT2A/C
Agonist
I.P.
0.2
0.18-0.6 


Ketanserin
5-HT2A/C
Antagonist
I.P.
3
1.5-6.0


SR 57227A
5-HT3
Agonist
I.P.
1.5
1.3-1.7


Ondanesetron
5-HT3
Antagonist
I.P.
3
1.4-7.0


SB269970
5-HT7
Antagonist
I.P.
7
 2.0-10.0







Noradrenergic receptor systems












Methoxamine
Alpha1
Agonist
I.P.
2.5
1.5-4.5


Prazosin
Alpha1
Antagonist
I.P.
3
1.8-3.0


Clonidine
Alpha2
Agonist
I.P.
0.5
0.2-1.5


Yohimbine
Alpha2
Antagonist
I.P.
0.4
0.3-0.6







Dopaminergic receptor systems












SKF-81297
D1-like
Agonist
I.P.
0.2
0.15-0.6 


SCH-23390
D1-like
Antagonist
I.P.
0.15
 0.1-0.75


Quinipirole
D2-like
Agonist
I.P.
0.3
0.15-0.3 


Eticlopride
D2-like
Antagonist
I.P.
1.8
0.9-1.8









The foregoing methods are intended to be illustrative and non-limiting. Using the teachings provided herein, other methods involving transcutaneous electrical stimulation and/or epidural electrical stimulation and/or the use of neuromodulatory agents to improve motor control and/or strength of a hand or paw will be available to one of skill in the art.


EXAMPLES

The following examples are offered to illustrate, but not to limit the claimed invention.


Example 1
Engaging the Cervical Spinal Cord Circuitry to Re-Enable Volitional Control of Hand Function in Tetraplegic Patients

The present Example demonstrates whether herein described neuromodulatory strategies can be used to improve fine motor control of the upper limbs, i.e., performance of motor tasks considered to be less “automatic” than posture and locomotion. Here we show that the injured human cervical spinal cord can be modulated using painless cutaneous electrical stimulation (pcEmc), monoaminergic agonist (fEmc) treatment, and/or eEmc to regain voluntary hand function. Mean hand strength increased greater than 300% after pcEmc plus fEmc (buspirone) treatment in 6 subjects with a chronic motor complete cervical injury. One subject that was implanted with a cervical epidural electrode array realized significantly improved hand strength and fine hand control in the presence of cervical eEmc. Thus, we now demonstrate that the cervical circuitry can be neuromodulated to improve volitional control of hand function in tetraplegic subjects with three novel interventions. The impact of these observations on individuals with upper limb paralysis could be dramatic functionally, psychologically, and economically.


Six subjects with chronic (18-36 months) spinal cord injury (SCI, traumatic cervical injury, ASIA B with no motor strength below the injury) were tested to determine if hand function can be improved by neuromodulating the cervical spinal cord. All subjects initially had minimal hand strength, a condition reflecting the majority of cervical SCI patients. Our experimental approach began with 6 weeks of baseline testing (Phase 1), followed by three 2-week treatment periods (Phases 2-4), and then by a period of approximately three months without any treatment at the end of which there was a final 2-week testing period (Phase 5). pcEmc at the C5 spinal segment (Phase 2) increased hand strength in 4/6 subjects compared to baseline Phase 1 (FIG. 1, panels A-G). During buspirone treatment (Phase 3), 4/6 subjects increased hand strength compared to Phase 1 and 2. The next 2 weeks buspirone was withdrawn but pcEmc continued (Phase 4), and again 4/6 subjects showed further improvement in grip strength compared to Phase 3. For all subjects combined, the mean grip strength tended to increase after each successive treatment phase (FIG. 1, panel G). EMG amplitudes were generally consistent with increases in grip force, i.e., digit flexor and extensor EMG amplitudes tended to increase progressively across phases (FIG. 1, panel H). After approximately three months without treatment, 4/6 subjects improved their performance relative to Phase 4.


These results show that the cervical spinal cord can be neuromodulated using two paradigms, i.e., electrically and pharmacologically. In some embodiments, the present methods are highly interactive and perhaps synergistic. Synergy and interactivity were observed in animal experiments. These data suggest that non-functional networks can become engaged and progressively improve motor performance. In some embodiments, further improvement in hand function after withdrawing pcEMC and fEMC can be a result of functional connections remaining active once they are established.


The improvements are unlikely to be due to natural recovery or from repeated practice as large cohort studies of SCI patients have demonstrated that the majority of functional improvements occur within 6 months of the injury and that minimal recovery of function is observed past the 12 month time-point. All of our subjects were 18 months beyond the initial injury when recruited. Furthermore, baseline motor function testing for 6 weeks prior to any therapeutic intervention revealed stable function (FIG. 6). Concomitant to significantly improved hand strength, gains in upper extremity functional metrics by ARAT (13 point improvement) and ASIA (7 point improvement) tests, reflecting the impact of these interventions on the patient's overall upper extremity motor function (FIG. 1, panel I).


Given the results above, we then asked whether the cervical spinal circuitry could be neuromodulated to improve hand function by stimulating via an epidural array implant (implanted in subject shown in FIG. 1, panel E). The implanted stimulating electrodes spanned the caudal portion of C5 to the rostral portion of T1 (FIG. 2, panel A, arrow; FIG. 2, panel B, electrode diagram). After mapping of the cervical motor pools by spinal cord evoked potentials (FIG. 7) we mainly used electrodes 13 and 14 to modulate hand function (FIG. 2, panel B, shaded boxes).


In the initial acute phase after implantation of a temporary trial array, the subject's ability to accurately follow a targeted force presented with a cursor moving in a sine wave pattern on a video screen was improved with eEmc (FIG. 2, panel C). The subject also could generate a more rapid oscillating force above and below a pre-selected target force in the presence of stimulation (FIG. 2, panel D). Additionally handgrip force was increased with stimulation at 5 and 30 Hz (FIG. 2, panel E). Importantly, some of these improvements were observed after stimulation.


After implantation of the permanent electrode array, we next performed a series of motor tests over the next 9 months comparing the effects of different stimulation parameters in facilitating maximum force and fine control. Maximal forces were generated at 10-20 Hz (FIG. 2, panel F) and 0.7-1.3 mA (FIG. 2, panel G). These forces were lower than the force generated in normal subjects (approximately 400 N), but substantially more than baseline. Evidence of the importance of selecting the optimal frequency and intensity of stimulation was reflected in the time that it took to respond to a signal to begin generating a force (FIG. 2, panel H). However, there were extremely long delays (sec) relative to uninjured subjects (approximately 200 ms) in voluntarily initiating a force regardless of the stimulation parameters. We compared the performance of these motor tasks to a commonly used clinical assessment tool and found a 6-point increase in ARAT with eEmc on vs. off during the same testing session, demonstrating the clinical relevance (FIG. 2, panel L).


Accuracy in controlling force was performed approximately weekly over a period of eight months to identify the optimal stimulation parameters. Rapid oscillatory movements were performed at 20 Hz and 0.5 mA and at 10 and 30 Hz and 0.7 mA (FIG. 2, panel I). Accuracy in following a targeted force occurred at 20 Hz (FIG. 2, panel J). In addition, the accuracy of controlling force in a sine wave pattern almost doubled over a two-month period (FIG. 2, panel K).


The present methods and systems provide that: 1) optimal stimulation parameters generating the highest forces differed from those generating the greatest accuracy at sub-maximal forces; 2) effects of stimulation intensity and frequency on maximum force production and accuracy are highly interdependent; 3) accuracy of force generation can be improved over time in the presence of eEmc; and 4) time needed to initiate a force following a command was prolonged, but could be improved with specific stimulation parameters. Each of these observations demonstrates the importance of matching the stimulation parameters with the task to be performed. In some embodiments, eEmc can yield improvement (e.g., meaningful) in upper extremity function in subjects with a cervical SCI.


Accuracy in controlling force was performed approximately weekly over a period of eight months to identify the optimal stimulation parameters. Rapid oscillatory movements were performed at 20 Hz and 0.5 mA and at 10 and 30 Hz and 0.7 mA (FIG. 2, panel I). Accuracy in following a targeted force occurred at 20 Hz (FIG. 2, panel J). In addition, the accuracy of controlling force in a sine wave pattern almost doubled over a two-month period (FIG. 2, panel K).


The present methods and systems provide that: 1) optimal stimulation parameters generating the highest forces differed from those generating the greatest accuracy at sub-maximal forces; 2) effects of stimulation intensity and frequency on maximum force production and accuracy are highly interdependent; 3) accuracy of force generation can be improved over time in the presence of eEmc; and 4) time needed to initiate a force following a command was prolonged, but could be improved with specific stimulation parameters. Each of these observations demonstrates the importance of matching the stimulation parameters with the task to be performed. In some embodiments, eEmc can yield improvement (e.g., meaningful) in upper extremity function in subjects with a cervical SCI.


A dysfunctional interaction may exist between supraspinal and sensory networks given the externally imposed neuromodulation of the spinal circuitry and since neither the descending motor control nor the spinal circuitry had functioned in any significant interactive way since the injury. This interaction was explored between supraspinally derived descending volitional drive and sensory-derived input to the spinal networks and motor pools when the spinal circuitry was being neuromodulated with eEmc. Could supraspinal networks volitionally accommodate the ‘level of effort’ to the level of motor pool excitability imposed by eEmc? To address this question we asked the subject to generate a series of seven contractions at different levels of maximum efforts with and without stimulation (FIG. 4). Without stimulation, the force level was maintained for all seven contractions at the lowest percentage effort, but force declined during the later contractions at the higher percentage efforts (FIG. 4, panel A). Over a wide range of stimulation intensities at the lowest percent effort, there were no marked differences in the subject's ability to estimate a target force (FIG. 4, panel C). At higher percent efforts fatigue was evident at moderate stimulation intensities, but this was overcome at the higher levels of stimulation, suggesting a neural deficit (FIG. 4, panels A and C). We repeated the experiments shown in FIG. 4, panels A and C (which occurred within 15 min period) on another day to avoid possible neuromuscular fatigue (FIG. 4, panel E). At the lower percent effort without stimulation, there was greater recruitment during the later contractions that enabled a constant force, whereas at the higher percent efforts the subject was unable to compensate with greater recruitment (FIG. 4, panel B). With stimulation, however, even at the higher efforts the targeted force could be reached as the result of greater motor pool excitation (FIG. 4, panel D). A similar but less dramatic change in excitation of the motor pools was present even when the targeted forces were reached at the different percent efforts (FIG. 4, panels D, F-H). In spite of the wide range in levels of neuromodulation there was remarkable consistency in volitionally generated forces. These results suggest that the subjects consciously perceived rather accurately the combined physiological state of supraspinal, spinal, and sensory networks to achieve the targeted levels of force simply defined conceptually as a “percent maximum effort” even in the presence of fatigue.


PcEmc, fEmc, and eEmc interventions can enhance the level of excitability of pre-motor spinal circuitries that mediate hand function. The importance of these data is that they identify three novel interventional strategies having significant potential for high clinical impact in a relatively short timeframe on a function considered to be of highest priority among paralyzed patients. The impact of these results is significant from the following perspectives: 1) neuromodulation is not dependent on the physiological phenomenon of central pattern generation but also applies to fine neuromotor control of less “automatic” movements; 2) they raise the possibility that the neuromodulatory concept could apply to other neural networks and therefore could be applied to neuromotor disorders such as stroke and Parkinson disease; and 3) they demonstrate the potential of enhancing maximum neuromuscular force, as well as fine control of movements. The improved force potential was associated with improved performance in upper extremity tasks (ARAT). Importantly, even after more than a year of inactivity of the sensorimotor circuits, significant levels of activity-dependent plasticity persist.


Methods Summary


The University of California, Los Angeles Institutional Review Board approved all procedures. Subjects were enrolled based on the enrollment criteria of traumatic cervical injury, ASIA B, greater than 1 year from injury, and stable motor function as documented by sequential clinical exams. Baseline clinical scores (ARAT, ASIA) prior to study intervention were assessed (FIG. 1, panel I).


Voluntary motor control data were assessed using a handgrip force measurement device. EMG data were collected via surface electrodes placed unilaterally on upper extremity muscles. Stimulation and data collection was obtained using the Konigsberg EMG system (Konigsberg, Pasadena, California). Functional assessments by validated assessment tools were performed weekly during each study phase: American Spinal Injury Assessment (ASIA), and Action Research Arm Test (ARAT) (Carroll (1965) J, Chronic Dis., 18: 479-491). Two blinded examiners conducted the functional tests.


The transcutaneous stimulation device is non-invasive. Stimulation parameters ranged from 5-30 Hz and 20-100 mA, located at C5. From the midpoint of Phase 1 to the end of Phase 4 all subjects were informed that they would receive either a placebo or the monoaminergic agonist (7.5 mg buspirone twice daily for 2 weeks beginning the day before biweekly testing). All subjects received buspirone during Phase 3 and a placebo during Phases 1, 2, and 4. All subjects and testers were blinded.


A temporary trial with two 16-contact percutaneous epidural leads (Linear Lead, Boston Scientific, Valencia, CA) spanning C2 to T1 was conducted prior to permanent implantation in one subject. Indication for implantation was for treatment of pain. Stimulation intensity ranged between 0.1-10.0 mA, frequencies ranged between 5-60 Hz, and pulse width was at 210 or 450 ps. After 7 days, one Boston Scientific Artisan (Valencia, CA) 16-electrode epidural array and one Boston Scientific Precision Plus Spinal Cord Stimulator (Valencia, CA) were implanted encompassing C5 to T1. The effects of various combinations of stimulation parameters were assessed to obtain the best response for hand function. Stimulation intensity ranged between 0.13.0 mA, frequencies ranged between 5-60 Hz, and pulse width was at 210 or 450 ps.


Outcomes were averaged across all observations in a given phase/period for each subject. Group mean changes across subjects in grip strength, EMG amplitude, ARAT score and ASIA score from baseline over the 5 phases were compared using a non-parametric repeated measure analysis of variance model using re-sampling. A two sided p value of p<0.05 was considered significant. Means±standard error of the mean (SEM) are reported.


Methods.


Subject Profiles


The University of California, Los Angeles Institutional Review Board approved all procedures. Subjects were enrolled based on the enrollment criteria of traumatic cervical injury, ASIA B, greater than 1 year from injury, and stable motor function as documented by sequential clinical exams. The clinical profiles of the subjects upon enrollment into this study are as follows: Subject A was a 20 year old male who suffered a C6 SCI after a motor vehicle accident and was 36 months from initial injury; Subject B was a 18 year old male who suffered a C5 SCI after a diving accident and was 18 months from initial injury; Subject C was a 21 year old female who suffered a C2 SCI after a motor vehicle accident and was 45 months from initial injury; Subject D was a 20 year old male who suffered a C5 SCI sustained during football game and was 30 months from initial injury; Subject E was a 18 year old male who suffered a C5 SCI after a diving accident and was 24 months from initial injury; and Subject F was an 18 year old female with C6 SCI sustained after a fall from height and was 18 months from initial injury. Magnetic resonance imaging was obtained in all subjects to confirm location and description of injury (FIG. 5). Baseline clinical scores (ARAT, ASIA) were assessed prior to and throughout the study (FIG. 1, panel I).


Hand Testing


Voluntary motor control data were assessed using a handgrip force measurement device. Motor assessment was conducted on the arm that was most functional post-injury regardless of the pre-injury dominant side. Briefly, the device measures displacement against springs with a range in spring constants. Measurement of maximal voluntary contraction was conducted by asking the subject to contract his/her hand against the springs to maximally displace the handgrip. The contraction lasted for approximately 3-5 sec and was repeated twice. For hand oscillation/repeated contractions, the subject was asked to contract and release the hand as fast as possible above and below two lines on a computer screen that was preset at 12.5 and 37.5% of maximum voluntary contraction. The number of completed contraction-release sequences across the lines was determined. For hand control, the subject was asked to trace a sinusoidal wave (0.15 Hz) that appeared on the computer screen by squeezing the handgrip. The percentage of data points that fell inside a circular window at a sampling of 15 Hz was determined. The EMG data were collected via surface electrodes placed unilaterally on the biceps brachii (biceps), triceps brachii (triceps), brachioradialis (Brac), extensor digitorum (ED), flexor digitorum (FD), thenar, and hypothenar (H. Thenar) muscles. Stimulation and data collection was obtained using the Konigsberg EMG system (Konigsberg, Pasadena, California). Functional assessments by validated assessment tools were performed weekly during each phase of study: American Spinal Injury Assessment (ASIA), and Action Research Arm Test (ARAT) (Carroll (1965) J, Chronic Dis., 18: 479-491).


ARAT was selected due its focus on arm motor ability and because it has been validated and applied in the SCI setting. Scoring was conducted by two experienced examiners who were not informed of the treatment phase (blinded). If discrepancy existed between the scores, the exam was repeated and a consensus reached.


Prior to initiation of the study, the stability of hand function and training effect of utilizing the handgrip was assessed over the course of 6 weeks during which the subjects were tested and trained with the handgrip twice/week. In all subjects assessed, there was no improvement in hand function during this baseline testing (FIG. 6). Testing and training during this assessment period involved asking the subject to maximally contract the hand using the handgrip device. A total of 9-36 maximum hand contractions were performed during each session over a period of one to two hours.


pcEMC and fEMC


The transcutaneous stimulation device is non-invasive. A surface stimulation cathode electrode was attached on the dorsal aspect of the neck (C5 area) and the grounding electrode was placed on the anterior superior iliac spine. Stimulation parameters ranged from 5-30 Hz and 20-100 mA. Varying combinations of these stimulation parameters were systematically assessed to obtain optimum facilitation of voluntary hand contraction by identification of the relative activation levels of the motor pools studied (data not shown). During each of the three treatment periods (Phases 2-4) a series of nine 3.5-sec maximum hand grip strength tests were performed per treatment session. In each session of Phase 2, three contractions were performed without pcEmc, followed by three in the presence of pcEmc (twice weekly at 30 Hz and 20-40 mA), followed by three without pcEmc. The same pcEmc protocol was followed during Phases 2-4. The duration of pcEmc during each testing session was approximately 15-30 min. The total number of maximum hand contractions was 9-36 and each session lasted 1 to 2 hours. During pcEMC, the subjects reported a non-painful, tingling sensation down the arms at the higher stimulation intensities at the site of stimulation with some associated tonic paraspinal muscle contractions at the neck.


From the midpoint of the Phase 1 to the end of Phase 4 all subjects were informed that they would receive either a placebo or the monoaminergic agonist buspirone. All subjects and testers were blinded as to which treatment was administered and were given buspirone (7.5 mg buspirone twice daily for 2 weeks beginning the day before biweekly testing) during Phase 3 and a placebo during Phases 1, 2, and 4.


eEMC


Planning for surgical placement of spinal cord epidural stimulator (eEmc) on subject E was initiated prior to study enrollment. The criteria for selection was based on Federal Drug Administration approved use for the treatment of pain and Dr. Lu and two other physicians confirmed the indication for implantation. A temporary trial with two 16-contact percutaneous epidural leads (Linear Lead, Boston Scientific, Valencia, CA) spanning C2 to T1 was conducted prior to permanent implantation. After implantation, testing was conducted over a 2-hour session to assess the efficacy for improving hand function. Stimulation amplitude ranged between 0.110.0 mA, frequencies ranged between 5-60 Hz, and pulse width was at 210 or 450 ps. Total time of stimulation was 30 min.


After 7 days of confirmed efficacy in the treatment of pain, one Boston Scientific Artisan (Valencia, CA) 16-electrode epidural array and one Boston Scientific Precision Plus Spinal Cord Stimulator (Valencia, CA) were implanted encompassing C5 to T1. The effects of various combinations of stimulation parameters were assessed to obtain the best response for hand function. A combined total of 60 testing sessions were conducted on Subject E over the course of 20 months (epidural implant occurred between testing session 21 and 22). Each testing session lasted up to 180 min. During each testing session, stimulation duration lasted between 30-120 min. Stimulation amplitude ranged between 0.1-3.0 mA, frequencies ranged between 5-60 Hz, and pulse width was at 210 or 450 ps. During low intensity eEMC, the subject reported a tingling sensation at the neck that migrated toward the arms and hands. At the optimal stimulation parameters, the subject reported the perception of increased hand strength and control similar to pre-injury ability.


Statistical Analysis


Outcome measures (grip strength force, EMG amplitude, ARAT score, ASIA score) were averaged across all observations in a given Phase for each subject. Using these values, group mean changes across subjects for each outcome measure from baseline over the 5 phases were compared using a non-parametric repeated measure analysis of variance model using re-sampling (bootstrap). The repeated measure mixed model takes into account the correlation across time on the same subjects. A two-sided p value of p<0.05 was considered significant. Standard error of the mean (SEM) are reported. Individual mean profiles and the corresponding within person SEM also are reported.


It is understood that the examples and embodiments described herein are for illustrative purposes only and that various modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application and scope of the appended claims. All publications, patents, and patent applications cited herein are hereby incorporated by reference in their entirety for all purposes.

Claims
  • 1. An electrical stimulation system, comprising: a pulse generator configured to neuromodulate the cervical spinal cord of a patient by providing an electrical signal to at least one surface stimulation electrode attached to a dorsal aspect of the neck of the patient; andwherein at least one of an amplitude and a frequency of the electrical signal are selected to improve, when the electrical signal is provided to the at least one surface stimulation electrode, at least one of voluntary motor control or grip strength of a hand of the patient.
  • 2. The electrical stimulation system of claim 1, wherein: the at least one of the amplitude and the frequency of the electrical signal, when the electrical signal is provided to the at least one surface stimulation electrode, does not evoke a painful sensation.
  • 3. The electrical stimulation system of claim 1, wherein: the pulse generator is electrically connected to: a cathode electrode attached to the dorsal aspect of the neck, the at least one surface stimulation electrode comprising the cathode electrode; and a grounding electrode attached to the patient remote from the cathode electrode.
  • 4. The electrical stimulation system of claim 1, wherein: the at least one of the amplitude and the frequency of the electrical signal are further configured to reduce a time needed to initiate a force following a patient command.
  • 5. The electrical stimulation system of claim 1, wherein: the at least one of the amplitude and the frequency of the electrical signal are further configured to increase activation levels of motor pools of the hand of the patient.
  • 6. The electrical stimulation system of claim 5, wherein: the increase in activation levels of motor pools of the hand of the patient comprises an increase in surface EMG amplitudes of at least one intrinsic or extrinsic muscle of the hand.
  • 7. The electrical stimulation system of claim 5, wherein: the amplitude of the electrical signal is between 20 mA and 100 mA; andthe frequency of the electrical signal is between 5 Hz and 30 Hz.
  • 8. An electrical stimulation system, comprising: a pulse generator configured to neuromodulate the cervical spinal cord of a patient by providing an electrical signal to at least one implanted stimulation electrode positioned to provide stimulation to at least a portion of the cervical spinal cord of the patient; andwherein at least one of an amplitude and a frequency of the electrical signal are selected to improve, when the electrical signal is provided to the at least one implanted stimulation electrode, at least one of voluntary motor control or grip strength of a hand of the patient.
  • 9. The electrical stimulation system of claim 8, wherein: a implanted epidural electrode array comprises the at least one implanted stimulation electrode.
  • 10. The electrical stimulation system of claim 8, wherein: the at least one implanted stimulation electrode comprises at least one cathode and at least one anode selected based on activation of hand muscles.
  • 11. The electrical stimulation system of claim 8, wherein: the at least one of the amplitude and the frequency of the electrical signal are further configured to reduce response time.
  • 12. The electrical stimulation system of claim 8, wherein: the at least one of the amplitude and the frequency of the electrical signal are further configured to increase activation levels of motor pools of the hand of the patient.
  • 13. The electrical stimulation system of claim 8, wherein: the amplitude of the electrical signal is between 0.1 mA and 10 mA; andthe frequency of the electrical signal is between 5 Hz and 60 Hz.
  • 14. A neuromodulation method, comprising: providing an electrical signal to at least one electrode, the at least one electrode positioned to provide cervical stimulation to a patient;measuring at least one of a maximum of a grip force of a hand of the patient, accuracy in controlling the grip force of the hand of the patient, or response time in changing the grip force of the hand of the patient; andconfiguring a stimulator to provide an updated electrical signal to the at least one electrode, the updated electrical signal based on the measured at least one of the maximum of the grip force, the accuracy in controlling the grip force, or the response time in changing the grip force.
  • 15. The neuromodulation method of claim 14, wherein: an implanted extradural array comprises the at least one electrode.
  • 16. The neuromodulation method of claim 14, wherein: the at least one electrode comprises at least one cathodic electrode and at least one anodic electrode; andthe neuromodulation method further comprises selecting at the at least one cathodic electrode and the at least one anodic electrode based on spinal cord evoked potentials induced by the at least one cathodic electrode and the at least one anodic electrode.
  • 17. The electrical stimulation system of claim 14, wherein: the updated electrical signal has an amplitude between 0.1 mA and 10 mA and a frequency between 5 Hz and 60 Hz.
  • 18. The neuromodulation method of claim 14, wherein: the at least one electrode comprises a cathodic surface stimulation electrode.
  • 19. The neuromodulation method of claim 14, wherein: the updated electrical signal has an amplitude between 20 mA and 100 mA and a frequency between 5 Hz and 30 Hz.
  • 20. The neuromodulation method of claim 14, wherein: the updated electrical signal does not evoke a painful sensation.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. Ser. No. 16/200,467, filed on Nov. 26, 2018, which is a continuation of U.S. Ser. No. 15/025,201, filed on Mar. 25, 2016, U.S. Pat. No. 10,137,299, which is a 371 US National Phase of PCT/US2014/057886, filed on Sep. 26, 2014, which claims benefit of and priority to U.S. Ser. No. 61/883,694, filed on Sep. 27, 2013, all of which are incorporated herein by reference in their entirety for all purposes.

STATEMENT OF GOVERNMENTAL SUPPORT

This invention was made with Government support under TR000124, awarded by the National Institutes of Health. The Government has certain rights in the invention.

US Referenced Citations (619)
Number Name Date Kind
2868343 Sproul Jan 1959 A
3543761 Bradley Dec 1970 A
3650277 Sjostrand et al. Mar 1972 A
3662758 Glover May 1972 A
3724467 Avery et al. Apr 1973 A
4044774 Corbin et al. Aug 1977 A
4102344 Conway et al. Jul 1978 A
4141365 Fischell et al. Feb 1979 A
4285347 Hess Aug 1981 A
4340063 Maurer Jul 1982 A
4379462 Borkan et al. Apr 1983 A
4398537 Holmbo Aug 1983 A
4414986 Dickhudt et al. Nov 1983 A
4538624 Tarjan Sep 1985 A
4549556 Tajan et al. Oct 1985 A
4559948 Liss et al. Dec 1985 A
4569352 Petrofsky et al. Feb 1986 A
4573481 Bullara et al. Mar 1986 A
4724842 Charters Feb 1988 A
4800898 Hess et al. Jan 1989 A
4934368 Lynch Jun 1990 A
4969452 Petrofsky et al. Nov 1990 A
5002053 Garcia-Rill et al. Mar 1991 A
5031618 Mullett Jul 1991 A
5066272 Eaton et al. Nov 1991 A
5081989 Graupe et al. Jan 1992 A
5121754 Mullett Jun 1992 A
5344439 Otten Sep 1994 A
5354320 Schaldach et al. Oct 1994 A
5366813 Berlin Nov 1994 A
5374285 Vaiani et al. Dec 1994 A
5417719 Hull et al. May 1995 A
5476441 Durfee et al. Dec 1995 A
5562718 Palermo Oct 1996 A
5643330 Holsheimer et al. Jul 1997 A
5733322 Starkebaum Mar 1998 A
5983141 Sluijter et al. Nov 1999 A
6058331 King May 2000 A
6066163 John May 2000 A
6104957 Alo et al. Aug 2000 A
6122548 Starkebaum et al. Sep 2000 A
6308103 Gielen Oct 2001 B1
6319241 King et al. Nov 2001 B1
6463327 Lurie et al. Oct 2002 B1
6470213 Alley Oct 2002 B1
6500110 Davey et al. Dec 2002 B1
6503231 Prausnitz et al. Jan 2003 B1
6505074 Boveja et al. Jan 2003 B2
6516227 Meadows et al. Feb 2003 B1
6551849 Kenney Apr 2003 B1
6587724 Mann Jul 2003 B2
6662053 Borkan Dec 2003 B2
6666831 Edgerton et al. Dec 2003 B1
6685729 Gonzalez Feb 2004 B2
6748276 Daignault, Jr. et al. Jun 2004 B1
6819956 DiLorenzo Nov 2004 B2
6839594 Cohen et al. Jan 2005 B2
6862479 Whitehurst et al. Mar 2005 B1
6871099 Whitehurst et al. Mar 2005 B1
6878112 Linberg et al. Apr 2005 B2
6892098 Ayal et al. May 2005 B2
6895280 Meadows et al. May 2005 B2
6895283 Erickson et al. May 2005 B2
6937891 Leinders et al. Aug 2005 B2
6950706 Rodriguez et al. Sep 2005 B2
6975907 Zanakis et al. Dec 2005 B2
6988006 King et al. Jan 2006 B2
6999820 Jordan Feb 2006 B2
7020521 Brewer et al. Mar 2006 B1
7024247 Gliner et al. Apr 2006 B2
7035690 Goetz Apr 2006 B2
7047084 Erickson et al. May 2006 B2
7065408 Herman et al. Jun 2006 B2
7096070 Jenkins et al. Aug 2006 B1
7110820 Tcheng et al. Sep 2006 B2
7127287 Duncan et al. Oct 2006 B2
7127296 Bradley Oct 2006 B2
7127297 Law et al. Oct 2006 B2
7149773 Haller et al. Dec 2006 B2
7153242 Goffer Dec 2006 B2
7184837 Goetz Feb 2007 B2
7200443 Faul Apr 2007 B2
7209787 DiLorenzo Apr 2007 B2
7228179 Campen et al. Jun 2007 B2
7239920 Thacker et al. Jul 2007 B1
7251529 Greenwood-Van Meerveld Jul 2007 B2
7252090 Goetz Aug 2007 B2
7313440 Miesel et al. Dec 2007 B2
7324853 Ayal et al. Jan 2008 B2
7330760 Heruth et al. Feb 2008 B2
7337005 Kim et al. Feb 2008 B2
7337006 Kim et al. Feb 2008 B2
7340298 Barbut Mar 2008 B1
7381192 Brodard et al. Jun 2008 B2
7415309 Mcintyre Aug 2008 B2
7463927 Chaouat Dec 2008 B1
7463928 Lee et al. Dec 2008 B2
7467016 Colborn Dec 2008 B2
7493170 Segel et al. Feb 2009 B1
7496404 Meadows et al. Feb 2009 B2
7502652 Gaunt et al. Mar 2009 B2
7536226 Williams et al. May 2009 B2
7544185 Bengtsson Jun 2009 B2
7584000 Erickson Sep 2009 B2
7590454 Garabedian et al. Sep 2009 B2
7603178 North et al. Oct 2009 B2
7620502 Selifonov et al. Nov 2009 B2
7628750 Cohen et al. Dec 2009 B2
7647115 Levin et al. Jan 2010 B2
7660636 Castel et al. Feb 2010 B2
7697995 Cross et al. Apr 2010 B2
7725193 Chu May 2010 B1
7729781 Swoyer et al. Jun 2010 B2
7734340 De Ridder Jun 2010 B2
7734351 Testerman et al. Jun 2010 B2
7742037 Sako et al. Jun 2010 B2
7769463 Katsnelson Aug 2010 B2
7797057 Harris Sep 2010 B2
7801601 Maschino et al. Sep 2010 B2
7813803 Heruth et al. Oct 2010 B2
7813809 Strother et al. Oct 2010 B2
7840270 Ignagni et al. Nov 2010 B2
7856264 Firlik et al. Dec 2010 B2
7877146 Rezai et al. Jan 2011 B2
7890182 Parramon et al. Feb 2011 B2
7949395 Kuzma May 2011 B2
7949403 Palermo et al. May 2011 B2
7987000 Moffitt et al. Jul 2011 B2
7991465 Bartic et al. Aug 2011 B2
8019427 Moffitt Sep 2011 B2
8050773 Zhu Nov 2011 B2
8108051 Cross, Jr. et al. Jan 2012 B2
8108052 Boling Jan 2012 B2
8131358 Moffitt et al. Mar 2012 B2
8135473 Miesel et al. Mar 2012 B2
8155750 Jaax et al. Apr 2012 B2
8168481 Hanaoka et al. May 2012 B2
8170660 Dacey, Jr. et al. May 2012 B2
8190262 Gerber et al. May 2012 B2
8195304 Strother et al. Jun 2012 B2
8214048 Whitehurst et al. Jul 2012 B1
8229565 Kim et al. Jul 2012 B2
8239038 Wolf, II Aug 2012 B2
8260436 Gerber et al. Sep 2012 B2
8271099 Swanson Sep 2012 B1
8295936 Wahlstrand et al. Oct 2012 B2
8311644 Moffitt et al. Nov 2012 B2
8326569 Lee et al. Dec 2012 B2
8332029 Glukhovsky et al. Dec 2012 B2
8332047 Libbus et al. Dec 2012 B2
8346366 Arle et al. Jan 2013 B2
8352036 DiMarco et al. Jan 2013 B2
8355791 Moffitt Jan 2013 B2
8355797 Caparso et al. Jan 2013 B2
8364273 De Ridder Jan 2013 B2
8369961 Christman et al. Feb 2013 B2
8374696 Sanchez et al. Feb 2013 B2
8412345 Moffitt Apr 2013 B2
8428728 Sachs Apr 2013 B2
8442655 Moffitt et al. May 2013 B2
8452406 Arcot-Krishmamurthy et al. May 2013 B2
8543200 Lane et al. Sep 2013 B2
8588884 Hegde et al. Nov 2013 B2
8700145 Kilgard et al. Apr 2014 B2
8712546 Kim et al. Apr 2014 B2
8740825 Ehrenreich et al. Jun 2014 B2
8750957 Tang et al. Jun 2014 B2
8768481 Lane Jul 2014 B2
8805542 Tai et al. Aug 2014 B2
9072891 Rao Jul 2015 B1
9079039 Carlson et al. Jul 2015 B2
9101769 Edgerton et al. Aug 2015 B2
9205259 Kim et al. Dec 2015 B2
9205260 Kim et al. Dec 2015 B2
9205261 Kim et al. Dec 2015 B2
9248291 Mashiach Feb 2016 B2
9272139 Hamilton et al. Mar 2016 B2
9272143 Libbus et al. Mar 2016 B2
9283391 Ahmed Mar 2016 B2
9314630 Levin et al. Apr 2016 B2
9393409 Edgerton et al. Jul 2016 B2
9409023 Burdick et al. Aug 2016 B2
9415218 Edgerton et al. Aug 2016 B2
9421365 Sumners et al. Aug 2016 B2
9597517 Moffitt Mar 2017 B2
9610442 Yoo et al. Apr 2017 B2
9802052 Marnfeldt Oct 2017 B2
9895545 Rao et al. Feb 2018 B2
9993642 Gerasimenko et al. Jun 2018 B2
10092750 Edgerton et al. Oct 2018 B2
10124166 Edgerton et al. Nov 2018 B2
10137299 Lu Nov 2018 B2
10449371 Serrano Carmona Oct 2019 B2
10751533 Edgerton et al. Aug 2020 B2
10773074 Liu et al. Sep 2020 B2
10806927 Edgerton et al. Oct 2020 B2
10806935 Rao et al. Oct 2020 B2
11097122 Lu Aug 2021 B2
11123312 Lu et al. Sep 2021 B2
11266850 Prouza et al. Mar 2022 B2
11400284 Gerasimenko et al. Aug 2022 B2
20010016266 Okazaki et al. Aug 2001 A1
20010032992 Wendt Oct 2001 A1
20020042814 Fukasawa et al. Apr 2002 A1
20020052539 Haller et al. May 2002 A1
20020055779 Andrews May 2002 A1
20020083240 Hoese et al. Jun 2002 A1
20020111661 Cross et al. Aug 2002 A1
20020115945 Herman et al. Aug 2002 A1
20020188332 Lurie et al. Dec 2002 A1
20020193843 Hill et al. Dec 2002 A1
20030032992 Thacker et al. Feb 2003 A1
20030078633 Firlik et al. Apr 2003 A1
20030093021 Goffer May 2003 A1
20030100933 Ayal et al. May 2003 A1
20030114894 Dar et al. Jun 2003 A1
20030158583 Burnett et al. Aug 2003 A1
20030220679 Han Nov 2003 A1
20030233137 Paul, Jr. Dec 2003 A1
20040039425 Greenwood-Van Meerveld Feb 2004 A1
20040044380 Bruninga et al. Mar 2004 A1
20040111118 Hill et al. Jun 2004 A1
20040111126 Tanagho et al. Jun 2004 A1
20040122483 Nathan et al. Jun 2004 A1
20040127954 McDonald, III Jul 2004 A1
20040133248 Frei et al. Jul 2004 A1
20040138518 Rise et al. Jul 2004 A1
20040172027 Speitling et al. Sep 2004 A1
20040172097 Brodard et al. Sep 2004 A1
20040181263 Balzer et al. Sep 2004 A1
20040267320 Taylor et al. Dec 2004 A1
20050004622 Cullen et al. Jan 2005 A1
20050061315 Lee et al. Mar 2005 A1
20050070982 Heruth et al. Mar 2005 A1
20050075669 King Apr 2005 A1
20050075678 Faul Apr 2005 A1
20050090756 Wolf et al. Apr 2005 A1
20050101827 Delisle May 2005 A1
20050102007 Ayal et al. May 2005 A1
20050113882 Cameron et al. May 2005 A1
20050119713 Whitehurst et al. Jun 2005 A1
20050125045 Brighton et al. Jun 2005 A1
20050209655 Bradley et al. Sep 2005 A1
20050231186 Saavedra Barrera et al. Oct 2005 A1
20050246004 Cameron et al. Nov 2005 A1
20050277999 Strother et al. Dec 2005 A1
20050278000 Strother et al. Dec 2005 A1
20060003090 Rodger et al. Jan 2006 A1
20060015153 Gliner et al. Jan 2006 A1
20060018360 Tai et al. Jan 2006 A1
20060041225 Wallace et al. Feb 2006 A1
20060041295 Osypka Feb 2006 A1
20060089696 Olsen et al. Apr 2006 A1
20060100671 Ridder May 2006 A1
20060111754 Rezai et al. May 2006 A1
20060122678 Olsen et al. Jun 2006 A1
20060142337 Ikeura et al. Jun 2006 A1
20060142816 Fruitman et al. Jun 2006 A1
20060142822 Tulgar Jun 2006 A1
20060149333 Tanagho et al. Jul 2006 A1
20060149337 John Jul 2006 A1
20060189839 Laniado et al. Aug 2006 A1
20060195153 DiUbaldi et al. Aug 2006 A1
20060239482 Hatoum Oct 2006 A1
20060241356 Flaherty Oct 2006 A1
20060282127 Zealear Dec 2006 A1
20070004567 Shetty et al. Jan 2007 A1
20070016097 Farquhar et al. Jan 2007 A1
20070016266 Paul, Jr. Jan 2007 A1
20070016329 Herr et al. Jan 2007 A1
20070021513 Agee et al. Jan 2007 A1
20070027495 Gerber Feb 2007 A1
20070047852 Sharp et al. Mar 2007 A1
20070049814 Muccio Mar 2007 A1
20070055337 Tanrisever Mar 2007 A1
20070060954 Cameron et al. Mar 2007 A1
20070060980 Strother et al. Mar 2007 A1
20070067003 Sanchez et al. Mar 2007 A1
20070073357 Rooney et al. Mar 2007 A1
20070083240 Peterson et al. Apr 2007 A1
20070100389 Jaax et al. May 2007 A1
20070121702 LaGuardia et al. May 2007 A1
20070121709 Ittogi May 2007 A1
20070142874 John Jun 2007 A1
20070150023 Ignagni et al. Jun 2007 A1
20070150034 Rooney et al. Jun 2007 A1
20070156172 Alvarado Jul 2007 A1
20070156179 Karashurov Jul 2007 A1
20070156200 Kornet et al. Jul 2007 A1
20070168008 Olsen Jul 2007 A1
20070179534 Firlik et al. Aug 2007 A1
20070179579 Feler et al. Aug 2007 A1
20070191709 Swanson Aug 2007 A1
20070208381 Hill et al. Sep 2007 A1
20070233204 Lima et al. Oct 2007 A1
20070255372 Metzler et al. Nov 2007 A1
20070265621 Matthis et al. Nov 2007 A1
20070265679 Bradley et al. Nov 2007 A1
20070265691 Swanson Nov 2007 A1
20070276449 Gunter et al. Nov 2007 A1
20070276450 Meadows et al. Nov 2007 A1
20070293910 Strother et al. Dec 2007 A1
20080002227 Tsujimoto Jan 2008 A1
20080004674 King et al. Jan 2008 A1
20080009927 Vilims Jan 2008 A1
20080021513 Thacker et al. Jan 2008 A1
20080027346 Litt et al. Jan 2008 A1
20080046049 Skubitz et al. Feb 2008 A1
20080051851 Lin Feb 2008 A1
20080071325 Bradley Mar 2008 A1
20080077192 Harry et al. Mar 2008 A1
20080103579 Gerber May 2008 A1
20080105185 Kuhlman May 2008 A1
20080140152 Imran et al. Jun 2008 A1
20080140162 Goetz et al. Jun 2008 A1
20080140169 Imran Jun 2008 A1
20080147143 Popovic et al. Jun 2008 A1
20080154329 Pyles et al. Jun 2008 A1
20080183224 Barolat Jul 2008 A1
20080200749 Zheng et al. Aug 2008 A1
20080202940 Jiang et al. Aug 2008 A1
20080207985 Farone Aug 2008 A1
20080208287 Palermo et al. Aug 2008 A1
20080215113 Pawlowicz Sep 2008 A1
20080221653 Agrawal et al. Sep 2008 A1
20080224226 Suzuki et al. Sep 2008 A1
20080228241 Sachs Sep 2008 A1
20080228250 Mironer Sep 2008 A1
20080234121 Kim et al. Sep 2008 A1
20080234791 Arle et al. Sep 2008 A1
20080279896 Heinen et al. Nov 2008 A1
20080294211 Moffitt Nov 2008 A1
20090012436 Lanfermann et al. Jan 2009 A1
20090024997 Kobayashi Jan 2009 A1
20090093854 Leung et al. Apr 2009 A1
20090112281 Miyazawa et al. Apr 2009 A1
20090118365 Benson, III et al. May 2009 A1
20090131995 Sloan et al. May 2009 A1
20090157141 Chiao et al. Jun 2009 A1
20090198305 Naroditsky et al. Aug 2009 A1
20090204173 Fang et al. Aug 2009 A1
20090229166 Sawrie Sep 2009 A1
20090270960 Zhao et al. Oct 2009 A1
20090281529 Carriazo Nov 2009 A1
20090281599 Thacker et al. Nov 2009 A1
20090293270 Brindley et al. Dec 2009 A1
20090299166 Nishida et al. Dec 2009 A1
20090299167 Seymour Dec 2009 A1
20090306491 Haggers Dec 2009 A1
20100004715 Fahey Jan 2010 A1
20100010646 Drew et al. Jan 2010 A1
20100023103 Elborno Jan 2010 A1
20100029040 Nomoto Feb 2010 A1
20100042193 Slavin Feb 2010 A1
20100070007 Parker et al. Mar 2010 A1
20100114205 Donofrio et al. May 2010 A1
20100114239 McDonald et al. May 2010 A1
20100125313 Lee et al. May 2010 A1
20100137938 Kishawi et al. Jun 2010 A1
20100145428 Cameron et al. Jun 2010 A1
20100152811 Flaherty Jun 2010 A1
20100166546 Mahan et al. Jul 2010 A1
20100168820 Maniak et al. Jul 2010 A1
20100185253 Dimarco et al. Jul 2010 A1
20100198298 Glukhovsky et al. Jul 2010 A1
20100217355 Tass et al. Aug 2010 A1
20100228310 Shuros et al. Sep 2010 A1
20100241191 Testerman et al. Sep 2010 A1
20100268299 Farone Oct 2010 A1
20100274312 Alataris et al. Oct 2010 A1
20100280570 Sturm et al. Nov 2010 A1
20100305660 Hegi et al. Dec 2010 A1
20100312304 York et al. Dec 2010 A1
20100318168 Bighetti Dec 2010 A1
20100331925 Peterson Dec 2010 A1
20110006793 Peschke et al. Jan 2011 A1
20110009919 Carbunaru et al. Jan 2011 A1
20110016081 Basak et al. Jan 2011 A1
20110029040 Walker et al. Feb 2011 A1
20110029044 Hyde et al. Feb 2011 A1
20110034277 Brandes Feb 2011 A1
20110034977 Janik et al. Feb 2011 A1
20110040349 Graupe Feb 2011 A1
20110054567 Lane et al. Mar 2011 A1
20110054568 Lane et al. Mar 2011 A1
20110054570 Lane Mar 2011 A1
20110054579 Kumar et al. Mar 2011 A1
20110077660 Janik et al. Mar 2011 A1
20110082515 Libbus et al. Apr 2011 A1
20110084489 Kaplan Apr 2011 A1
20110093043 Torgerson et al. Apr 2011 A1
20110112601 Meadows et al. May 2011 A1
20110125203 Simon et al. May 2011 A1
20110130804 Lin et al. Jun 2011 A1
20110152967 Simon et al. Jun 2011 A1
20110160810 Griffith Jun 2011 A1
20110166546 Jaax et al. Jul 2011 A1
20110184482 Eberman et al. Jul 2011 A1
20110184488 De Ridder Jul 2011 A1
20110184489 Nicolelis et al. Jul 2011 A1
20110202107 Sunagawa et al. Aug 2011 A1
20110208265 Erickson et al. Aug 2011 A1
20110213266 Williams et al. Sep 2011 A1
20110218590 DeGiorgio et al. Sep 2011 A1
20110218594 Doran et al. Sep 2011 A1
20110224153 Levitt et al. Sep 2011 A1
20110224665 Crosby et al. Sep 2011 A1
20110224752 Rolston et al. Sep 2011 A1
20110224753 Palermo et al. Sep 2011 A1
20110224757 Zdeblick et al. Sep 2011 A1
20110230101 Tang et al. Sep 2011 A1
20110230701 Simon et al. Sep 2011 A1
20110230702 Honour Sep 2011 A1
20110231326 Marino Sep 2011 A1
20110237221 Prakash et al. Sep 2011 A1
20110237921 Askin, III et al. Sep 2011 A1
20110245734 Wagner et al. Oct 2011 A1
20110276107 Simon et al. Nov 2011 A1
20110288609 Tehrani et al. Nov 2011 A1
20110295100 Rolston et al. Dec 2011 A1
20120006793 Swanson Jan 2012 A1
20120011222 Yasukawa et al. Jan 2012 A1
20120011950 Kracke Jan 2012 A1
20120013041 Cao et al. Jan 2012 A1
20120013126 Molloy Jan 2012 A1
20120016448 Lee Jan 2012 A1
20120029528 Macdonald et al. Feb 2012 A1
20120035684 Thompson et al. Feb 2012 A1
20120041518 Kim et al. Feb 2012 A1
20120052432 Matsuura Mar 2012 A1
20120053645 Ayanoor-Vitikkate et al. Mar 2012 A1
20120071250 O'Neil et al. Mar 2012 A1
20120071950 Archer Mar 2012 A1
20120083709 Parker et al. Apr 2012 A1
20120101326 Simon et al. Apr 2012 A1
20120109251 Lebedev et al. May 2012 A1
20120109295 Fan May 2012 A1
20120116476 Kothandaraman May 2012 A1
20120123223 Freeman et al. May 2012 A1
20120123293 Shah et al. May 2012 A1
20120126392 Kalvesten et al. May 2012 A1
20120136408 Grill et al. May 2012 A1
20120165899 Gliner Jun 2012 A1
20120172222 Artigas Puerto Jul 2012 A1
20120172246 Nguyen et al. Jul 2012 A1
20120172946 Altaris et al. Jul 2012 A1
20120179222 Jaax et al. Jul 2012 A1
20120185020 Simon et al. Jul 2012 A1
20120197338 Su et al. Aug 2012 A1
20120203055 Pletnev Aug 2012 A1
20120203131 DiLorenzo Aug 2012 A1
20120221073 Southwell et al. Aug 2012 A1
20120232615 Barolat et al. Sep 2012 A1
20120252874 Feinstein et al. Oct 2012 A1
20120259380 Pyles Oct 2012 A1
20120271372 Osorio Oct 2012 A1
20120277824 Li Nov 2012 A1
20120277834 Mercanzini et al. Nov 2012 A1
20120283697 Kim et al. Nov 2012 A1
20120283797 De Ridder Nov 2012 A1
20120302821 Burnett Nov 2012 A1
20120310305 Kaula et al. Dec 2012 A1
20120310315 Savage et al. Dec 2012 A1
20120330321 Johnson et al. Dec 2012 A1
20120330391 Bradley et al. Dec 2012 A1
20130012853 Brown Jan 2013 A1
20130013041 Glukhovsky et al. Jan 2013 A1
20130026640 Ito et al. Jan 2013 A1
20130030312 Keel et al. Jan 2013 A1
20130030319 Hettrick et al. Jan 2013 A1
20130030501 Feler et al. Jan 2013 A1
20130035745 Ahmed et al. Feb 2013 A1
20130053734 Barriskill et al. Feb 2013 A1
20130053922 Ahmed et al. Feb 2013 A1
20130066392 Simon et al. Mar 2013 A1
20130066411 Thacker et al. Mar 2013 A1
20130085317 Feinstein Apr 2013 A1
20130085361 Mercanzini et al. Apr 2013 A1
20130096640 Possover Apr 2013 A1
20130096661 Greenberg et al. Apr 2013 A1
20130096662 Swanson Apr 2013 A1
20130110196 Alataris et al. May 2013 A1
20130116751 Moffitt et al. May 2013 A1
20130123568 Hamilton et al. May 2013 A1
20130123659 Bartol et al. May 2013 A1
20130138167 Bradley et al. May 2013 A1
20130165991 Kim et al. Jun 2013 A1
20130197408 Goldfarb et al. Aug 2013 A1
20130204324 Thacker et al. Aug 2013 A1
20130211477 Cullen et al. Aug 2013 A1
20130237948 Donders et al. Sep 2013 A1
20130253222 Nakao Sep 2013 A1
20130253229 Sawant et al. Sep 2013 A1
20130253299 Weber et al. Sep 2013 A1
20130253611 Lee et al. Sep 2013 A1
20130268016 Xi et al. Oct 2013 A1
20130268021 Moffitt Oct 2013 A1
20130281890 Mishelevich Oct 2013 A1
20130289446 Stone et al. Oct 2013 A1
20130289664 Johanek Oct 2013 A1
20130289667 Wacnik et al. Oct 2013 A1
20130296965 Mokelke et al. Nov 2013 A1
20130303873 Voros et al. Nov 2013 A1
20130304159 Simon et al. Nov 2013 A1
20130310211 Wilton et al. Nov 2013 A1
20130310911 Tai et al. Nov 2013 A1
20140005753 Carbunaru Jan 2014 A1
20140031893 Walker et al. Jan 2014 A1
20140046407 Ben-Ezra et al. Feb 2014 A1
20140058292 Alford et al. Feb 2014 A1
20140058490 DiMarco Feb 2014 A1
20140066950 Macdonald et al. Mar 2014 A1
20140067007 Drees et al. Mar 2014 A1
20140067354 Kaula et al. Mar 2014 A1
20140074190 Griffith Mar 2014 A1
20140081011 Vaught et al. Mar 2014 A1
20140081071 Simon et al. Mar 2014 A1
20140088674 Bradley Mar 2014 A1
20140100633 Mann et al. Apr 2014 A1
20140107397 Simon et al. Apr 2014 A1
20140107398 Simon et al. Apr 2014 A1
20140114374 Rooney et al. Apr 2014 A1
20140142652 Francois et al. May 2014 A1
20140163640 Edgerton et al. Jun 2014 A1
20140172045 Yip et al. Jun 2014 A1
20140180361 Burdick et al. Jun 2014 A1
20140213842 Simon et al. Jul 2014 A1
20140228905 Bolea Aug 2014 A1
20140236257 Parker et al. Aug 2014 A1
20140243923 Doan et al. Aug 2014 A1
20140277271 Chan et al. Sep 2014 A1
20140296752 Edgerton et al. Oct 2014 A1
20140303901 Sadeh Oct 2014 A1
20140316484 Edgerton et al. Oct 2014 A1
20140316503 Tai et al. Oct 2014 A1
20140324118 Simon et al. Oct 2014 A1
20140330067 Jordan Nov 2014 A1
20140330335 Errico et al. Nov 2014 A1
20140336722 Rocon De Lima et al. Nov 2014 A1
20140357936 Simon et al. Dec 2014 A1
20150005840 Pal et al. Jan 2015 A1
20150065559 Feinstein et al. Mar 2015 A1
20150066111 Blum et al. Mar 2015 A1
20150165226 Simon et al. Jun 2015 A1
20150182784 Barriskill et al. Jul 2015 A1
20150190634 Rezai et al. Jul 2015 A1
20150196231 Ziaie et al. Jul 2015 A1
20150217120 Nandra et al. Aug 2015 A1
20150231396 Burdick et al. Aug 2015 A1
20150265830 Simon et al. Sep 2015 A1
20150328462 Griffith Nov 2015 A1
20160001096 Mishelevich Jan 2016 A1
20160030737 Gerasimenko et al. Feb 2016 A1
20160030748 Edgerton et al. Feb 2016 A1
20160030750 Bokil et al. Feb 2016 A1
20160045727 Rezai et al. Feb 2016 A1
20160045731 Simon et al. Feb 2016 A1
20160074663 De Ridder Mar 2016 A1
20160121109 Edgerton et al. May 2016 A1
20160121114 Simon et al. May 2016 A1
20160121116 Simon et al. May 2016 A1
20160121121 Mashiach May 2016 A1
20160143588 Hoitink et al. May 2016 A1
20160157389 Hwang Jun 2016 A1
20160175586 Edgerton et al. Jun 2016 A1
20160220813 Edgerton et al. Aug 2016 A1
20160235977 Lu et al. Aug 2016 A1
20160271413 Vallejo et al. Sep 2016 A1
20160279418 Courtine et al. Sep 2016 A1
20160279429 Hershey et al. Sep 2016 A1
20160310739 Burdick et al. Oct 2016 A1
20160339239 Yoo et al. Nov 2016 A1
20170007831 Edgerton et al. Jan 2017 A1
20170128729 Netoff et al. May 2017 A1
20170157389 Tai et al. Jun 2017 A1
20170157396 Dixon et al. Jun 2017 A1
20170161454 Grill et al. Jun 2017 A1
20170165497 Lu Jun 2017 A1
20170173326 Bloch et al. Jun 2017 A1
20170246450 Liu et al. Aug 2017 A1
20170246452 Liu et al. Aug 2017 A1
20170266455 Steinke Sep 2017 A1
20170274209 Edgerton et al. Sep 2017 A1
20170296837 Jin Oct 2017 A1
20170354819 Bloch et al. Dec 2017 A1
20170361093 Yoo et al. Dec 2017 A1
20180056078 Kashyap et al. Mar 2018 A1
20180085583 Zhang et al. Mar 2018 A1
20180104479 Grill et al. Apr 2018 A1
20180110992 Parramon et al. Apr 2018 A1
20180125416 Schwarz et al. May 2018 A1
20180178008 Bouton et al. Jun 2018 A1
20180185642 Lu Jul 2018 A1
20180185648 Nandra et al. Jul 2018 A1
20180193655 Zhang et al. Jul 2018 A1
20180229037 Edgerton et al. Aug 2018 A1
20180229038 Burdick et al. Aug 2018 A1
20180236240 Harkema et al. Aug 2018 A1
20180256906 Pivonka et al. Sep 2018 A1
20180280693 Edgerton et al. Oct 2018 A1
20180353755 Edgerton et al. Dec 2018 A1
20180361146 Gerasimenko et al. Dec 2018 A1
20190022371 Chang et al. Jan 2019 A1
20190033622 Olgun et al. Jan 2019 A1
20190160294 Peterson et al. May 2019 A1
20190167987 Lu et al. Jun 2019 A1
20190192864 Koop et al. Jun 2019 A1
20190247650 Tran Aug 2019 A1
20190269917 Courtine et al. Sep 2019 A1
20190381313 Lu Dec 2019 A1
20190381328 Wechter et al. Dec 2019 A1
20200155865 Lu May 2020 A1
20200228901 Baek Jul 2020 A1
20210069052 Burke Mar 2021 A1
20210187278 Lu Jun 2021 A1
20210236837 Lu Aug 2021 A1
20220161042 Lu May 2022 A1
20220233848 Gad et al. Jul 2022 A1
20220313993 Gerasimenko et al. Oct 2022 A1
Foreign Referenced Citations (143)
Number Date Country
2012204526 Jul 2013 AU
2649663 Nov 2007 CA
2 823 592 Jul 2012 CA
2 856 202 May 2013 CA
2 864 473 May 2013 CA
101227940 Jul 2008 CN
103263727 Aug 2013 CN
104307098 Jan 2015 CN
0630987 Dec 1994 EP
2130326 Dec 2009 EP
2141851 Jan 2010 EP
2160127 Mar 2010 EP
2178319 Apr 2010 EP
2192897 Jun 2010 EP
2226114 Sep 2010 EP
2258496 Dec 2010 EP
2361631 Aug 2011 EP
2368401 Sep 2011 EP
2387467 Nov 2011 EP
2396995 Dec 2011 EP
2397788 Dec 2011 EP
2445990 May 2012 EP
2471518 Jul 2012 EP
2475283 Jul 2012 EP
2486897 Aug 2012 EP
2626051 Aug 2013 EP
2628502 Aug 2013 EP
2661307 Nov 2013 EP
2688642 Jan 2014 EP
2810689 Dec 2014 EP
2810690 Dec 2014 EP
2868343 May 2015 EP
2966422 Jan 2016 EP
2968940 Jan 2016 EP
3184145 Jun 2017 EP
3323468 May 2018 EP
3328481 Jun 2018 EP
3527258 Aug 2019 EP
H03-26620 Feb 1991 JP
3184145 Jul 2001 JP
2002517283 Jun 2002 JP
2002200178 Jul 2002 JP
2004065529 Mar 2004 JP
2007-526798 Sep 2007 JP
2008067917 Mar 2008 JP
2008-543429 Dec 2008 JP
2014514043 Jun 2014 JP
2016506255 Mar 2016 JP
6132856 May 2017 JP
2017104685 Jun 2017 JP
2017525509 Sep 2017 JP
2018524113 Aug 2018 JP
2130326 May 1999 RU
2141851 Nov 1999 RU
2160127 Dec 2000 RU
2178319 Jan 2002 RU
2192897 Nov 2002 RU
2001102533 Nov 2002 RU
2226114 Mar 2004 RU
2258496 Aug 2005 RU
2361631 Jul 2009 RU
2368401 Sep 2009 RU
2387467 Apr 2010 RU
2396995 Aug 2010 RU
2397788 Aug 2010 RU
2445990 Mar 2012 RU
2471518 Jan 2013 RU
2475283 Feb 2013 RU
2661307 Jul 2018 RU
WO 97047357 Dec 1997 WO
WO-0234331 May 2002 WO
WO-02092165 Nov 2002 WO
WO-03005887 Jan 2003 WO
WO 03026735 Apr 2003 WO
WO 03092795 Nov 2003 WO
WO 2004087116 Oct 2004 WO
WO-2005002663 Jan 2005 WO
WO 2005051306 Jun 2005 WO
WO 2005065768 Jul 2005 WO
WO 2005087307 Sep 2005 WO
WO 2006138069 Dec 2006 WO
WO-2006135751 Dec 2006 WO
WO 2007007058 Jan 2007 WO
WO 2007012114 Feb 2007 WO
WO-2007047852 Apr 2007 WO
WO-2007081764 Jul 2007 WO
WO 2007107831 Sep 2007 WO
WO-2008075294 Jun 2008 WO
WO 2008109862 Sep 2008 WO
WO-2008070807 Sep 2008 WO
WO 2008121891 Oct 2008 WO
WO 2009042217 Apr 2009 WO
WO 2009111142 Sep 2009 WO
WO-2010021977 Feb 2010 WO
WO 2010055421 May 2010 WO
WO 2010114998 Oct 2010 WO
WO 2010124128 Oct 2010 WO
WO-2011005607 Jan 2011 WO
WO-2011136875 Nov 2011 WO
WO-2012050200 Apr 2012 WO
WO-2012075195 Jun 2012 WO
WO-2012080964 Jun 2012 WO
WO 2012094346 Jul 2012 WO
WO 2012100260 Jul 2012 WO
WO 2012129574 Sep 2012 WO
WO 2013071307 May 2013 WO
WO 2013071309 May 2013 WO
WO-2013152124 Oct 2013 WO
WO 2013188965 Dec 2013 WO
WO-2014005075 Jan 2014 WO
WO-2014031142 Feb 2014 WO
WO-2014089299 Jun 2014 WO
WO 2014144785 Sep 2014 WO
WO-2014149895 Sep 2014 WO
WO-2014205356 Dec 2014 WO
WO-2014209877 Dec 2014 WO
WO-2015000800 Jan 2015 WO
WO 2015048563 Apr 2015 WO
WO-2015063127 May 2015 WO
WO-2015106286 Jul 2015 WO
WO 2016029159 Feb 2016 WO
WO 2016033369 Mar 2016 WO
WO 2016033372 Mar 2016 WO
WO-2016064761 Apr 2016 WO
WO-2016110804 Jul 2016 WO
WO-2016112398 Jul 2016 WO
WO-2016172239 Oct 2016 WO
WO 2017011410 Jan 2017 WO
WO 2017024276 Feb 2017 WO
WO 2017035512 Mar 2017 WO
WO 2017044904 Mar 2017 WO
WO-2017058913 Apr 2017 WO
WO-2017062508 Apr 2017 WO
WO-2017117450 Jul 2017 WO
WO-2017146659 Aug 2017 WO
WO-2018039296 Mar 2018 WO
WO 2018106843 Jun 2018 WO
WO 2018140531 Aug 2018 WO
WO 2018217791 Nov 2018 WO
WO-2019211314 Nov 2019 WO
WO 2020041502 Feb 2020 WO
WO 2020041633 Feb 2020 WO
WO 2020236946 Nov 2020 WO
Non-Patent Literature Citations (318)
Entry
Abernethy, J. et al., “Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization”, Conference on Learning Theory, (2008), 13 pages.
Ada, L. et al., “Mechanically assisted walking with body weight support results in more independent walking than assisted overground walking in non-ambulatory patients early after stroke: a systematic review,” Journal of Physiotherapy, vol. 56, No. 3, (Sep. 2010), 9 pages.
Alto, L. et al., “Chemotropic Guidance Facilitates Axonal Regeneration and Synapse Formation after Spinal Cord Injury,” Nature Neuroscience, vol. 12, No. 9, Published Online Aug. 2, 2009, (Sep. 2009), 21 pages.
Anderson, K., “Targeting Recovery: Priorities of the Spinal Cord-Injured Population,” Journal of Neurotrauma, vol. 11, No. 10, Oct. 2004, 13 pages.
Auer, P. et al., “Finite-time Analysis of the Multiarmed Bandit Problem”, Machine Learning, vol. 47, No. 2, (2002), pp. 235-256.
Auer, P. “Using Confidence Bounds for Exploitation-Exploration Trade-offs”, Journal of Machine Learning Research, vol. 3, (2002), pp. 397-422.
Augustine GJ, Purves D, Fitzpatrick D, eds., “Autonomic Regulation of the Bladder.” Neuroscience, 2nd edition, Sunderland (MA): Sinauer Associates; 2001, Available from: https://www.ncbi.nlm.nih.gov/books/NBK10886/ ; downloaded Dec. 4, 2022, 2 pp.
Azimi, J. et al., “Batch Active Learning via Coordinated Matching”, In Proceedings of the 29th International Conference on Machine Learning, (2012), 8 pages.
Azimi, J. et al., “Batch Bayesian Optimization via Simulation Matching”, In Advances in Neural Information Processing Systems (NIPS), (2010), 9 pages.
Azimi, J. et al., “Hybrid Batch Bayesian Optimization”, In Proceedings of the 29th International Conference on Machine Learning, (2012), 12 pages.
Barbeau, H. et al., “Recovery of locomotion after chronic spinalization in the adult cat”, Brain Research, vol. 412, No. 1, (May 26, 1987), 12 pages.
Bareyre, F. et al., “The injured spinal cord spontaneously forms a new intraspinal circuit in adult rats,” Nature Neuroscience, vol. 7, No. 3, Published Online Feb. 15, 2004, (Mar. 2004), 9 pages.
Basso, D. et al., “MASCIS Evaluation of Open Field Locomotor Scores: Effects of Experience and Teamwork on Reliability,” Journal of Neurotrauma, vol. 13, No. 7, (Jul. 1996), 17 pages.
Brochu, et al., “A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning”, In TR-2009-23, UBC, (2009), 49 pages.
Brosamle, C. et al., “Cells of Origin, Course, and Termination Patterns of the Ventral, Uncrossed Component of the Mature Rat Corticospinal Tract,” The Journal of Comparative Neurology, vol. 386, No. 2, (Sep. 22, 1997), 11 pages.
Bubeck, S. et al., “Online Optimization in X-Armed Bandits”, Advances in Neural Information Processing Systems (NIPS), (2008), 8 pages.
Bubeck, S. et al., “Pure Exploration in Finitely-Armed and Continuous-Armed Bandits problems” In ALT, (2009), 35 pages.
Burke, R., “Group la Synaptic Input to Fast and Slow Twitch Motor Units of Cat Triceps Surae”, The Journal of Physiology, vol. 196, vol. 3, (Jun. 1, 1968), 26 pages.
CA Office Action dated Jul. 14, 2022 in Application No. CA2958924.
CA Office Action dated Jun. 19, 2023, in Application No. CA3030615.
CA Office Action dated Oct. 21, 2021 in CA Application No. CA2958924.
CA Office Action dated Sep. 6, 2022, in Application No. CA3030615.
CA Office Action dated Sep. 28, 2021, in application No. CA2925754.
Cai, L. et al., “Implications of Assist-As-Needed Robotic Step Training after a Complete Spinal Cord Injury on Intrinsic Strategies of Motor Learning”, The Journal of Neuroscience, vol. 26, No. 41, (Oct. 11, 2006), 5 pages.
Capogrosso, M., et al., “A Computational Model for Epidural Electrical Stimulation of Spinal Sensorimotor Circuits”, Journal of Neuroscience, Dec. 4, 2013, vol. 33, No. 49, pp. 19326-19340.
Carhart, M. et al., “Epidural Spinal-Cord Stimulation Facilitates Recovery of Functional Walking Following Incomplete Spinal-Cord Injury,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 12, No. 1, (Mar. 15, 2004), 11 pages.
Colgate, E. et al., “An Analysis of Contact Instability in Terms of Passive Physical Equivalents,” Proceedings of the 1989 IEEE International Conference on Robotics and Automation, Scottsdale, Arizona, (May 14, 1989), 6 pages.
Courtine, G. et al., “Can experiments in nonhuman primates expedite the translation of treatments for spinal cord injury in humans?”, Nature Medicine, vol. 13, No. 5, (May 2007), 13 pages.
Courtine, G. et al., “Recovery of supraspinal control of stepping via indirect propriospinal relay connections after spinal cord injury,” Nature Medicine, vol. 14, No. 1, (Jan. 6, 2008), 6 pages.
Cowley, K. et al., “Propriospinal neurons are sufficient for bulbospinal transmission of the locomotor command signal in the neonatal rat spinal cord,” The Journal of Physiology, vol. 586, No. 6, Published Online Jan. 31, 2008, (Mar. 15, 2008), 13 pages.
Danner, S. et al., “Human spinal locomotor control is based on flexibly organized burst generators,” Brain, vol. 138, No. 3, Available Online Jan. 12, 2015, Mar. 2015, 12 pages.
Danner, S. M. et al., “Body Position Influences Which neural structures are recruited by lumbar transcutaneous spinal cord stimulation”, PLoS One, vol. 11, No. 1, (2016), 13 pages.
Dimitrijevic et al. (1998) “Evidence for a spinal central pattern generator in humans.” Ann N Y Acad Sci. 860:360-76.
Dimitrijevic, M. M. et al., “Clinical Elements for the Neuromuscular Stimulation and Functional Electrical Stimulation protocols in the Practice of Neurorehabilitation”, Artificial Organs, vol. 26, No. 3, (2002), pp. 256-259.
Dimitrijevic, M. R. et al., “Electrophysiological characteristics of H-reflexes elicited by percutaneous stimulation of the cauda equina”, Abstract No. 4927, 34th Annual Meeting of the Society for Neuroscience, San Diego, CA (2004), 1 page.
Drew, T. et al., “Cortical mechanisms involved in visuomotor coordination during precision walking,” Brain Research Reviews, vol. 57, No. 1, Published Online Aug. 22, 2007, (Jan. 2007), 13 pages.
Duschau-Wicke, A. et al., “Patient-cooperative control increases active participation of individuals with SCI during robot-aided gait training,” Journal of NeuroEngineering and Rehabilitation, vol. 7, No. 43, (Sep. 10, 2010), 13 pages.
Edgerton, V. et al., “Robotic Training and Spinal Cord Plasticity,” Brain Research Bulletin, vol. 78, No. 1, Published Online Nov. 14, 2008, (Jan. 15, 2009), 19 pages.
Edgerton, V. et al., “Training Locomotor Networks,” Brain Research Reviews, vol. 57, Published Online Sep. 16, 2007, (Jan. 2008), 25 pages.
European Office Action [Decision to Refuse] dated Oct. 28, 2021 issued in EP 15834593.4.
European Search Report dated Apr. 19, 2022, in Application No. EP 19851613.0.
European Search Report dated Apr. 19, 2022, in Application No. EP 19852797.0.
Fleshman, J. et al., “Electronic Architecture of Type-Identified a-Motoneurons in the Cat Spinal Cord,” Journal of Neurophysiology, vol. 60, No. 1, (Jul. 1, 1988), 26 pages.
Frey, M. et al., “A Novel Mechatronic Body Weight Support System,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, No. 3, (Sep. 18, 2006), 11 pages.
Fuentes, R. et al., “Spinal Cord Stimulation Restores Locomotion in Animal Models of Parkinson's Disease,” Science, vol. 323, No. 5921, (Mar. 20, 2009), 14 pages.
Gerasimenko et al. (2015) “Initiation and modulation of locomotor circuitry output with multisite transcutaneous electrical stimulation of the spinal cord in noninjured humans.” J Neurophysiol. 113:834-42.
Gerasimenko et al. (2015) “Transcutaneous electrical spinal-cord stimulation in humans.” Ann Phys Rehabil Med. 58(4):225-231. doi:10.1016/j.rehab.2015.05.003.
Gerasimenko, Yu. P. et al., “Control of Locomotor Activity in Humans and Animals in the Absence of Supraspinal Influences”, Neuroscience and Behavioral Physiology, vol. 32, No. 4, (2002), pp. 417-423.
Gerasimenko, Yu. P. et al., “Noninvasive Reactivation of Motor Descending Control after Paralysis”, Journal of Neurotrauma, vol. 32, (2015), 13 pages.
Gilja, V. et al., “A high-performance neural prosthesis enabled by control algorithm design,” Nature Neuroscience, vol. 15, No. 12, Published Online Nov. 18, 2012, (Dec. 2012), 56 pages.
Gittins, J. C., “Bandit Processes and Dynamic Allocation Indices”, Journal of the Royal Statistical Society B, vol. 41, No. 2, (1979), pp. 148-164.
Giuliano, F. et al., “Neural control of erection”, Physiology & Behavior, vol. 83, No. 2, Nov. 15, 2004, pp. 189-201.
Guyatt, G. H. et al., “The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure,” Canadian Medical Association Journal, vol. 132, No. 8, (Apr. 15, 1985), 5 pages.
Hagglund, M. et al., “Activation of groups of excitatory neurons in the mammalian spinal cord or hindbrain evokes locomotion,” Nature Neuroscience, vol. 13, No. 2, Published Online Jan. 17, 2010, (Feb. 2010), 8 pages.
Harkema, S. et al., “Human Lumbosacral Spinal Cord Interprets Loading During Stepping,” Journal of Neurophysiology, vol. 77, No. 2, (Feb. 1, 1997), 15 pages.
Harrison, P. et al., “Individual Excitatory Post-Synaptic Potentials Due to Muscle Spindle Ia Afferents in Cat Triceps Surae Motoneurones,” The Journal of Physiology, vol. 312, No. 1, (Mar. 1981), pp. 455-470.
Hashtrudi-Zaad, K. et al., “On the Use of Local Force Feedback for Transparent Teleoperation,” Proceedings of the 1999 IEEE International Conference on Robotics and Automation, (May 10, 1999), 7 pages.
Hennig, P. et al., “Entropy search for information-efficient global optimization” Journal of Machine Learning Research (JMLR), vol. 13, (Jun. 2012), pp. 1809-1837.
Hidler, J. et al., “ZeroG: Overground gait and balance training system,” Journal of Rehabilitation Research & Development, vol. 48, No. 4, Available as Early as Jan. 1, 2011, (2011), 12 pages.
Hines, M. L. et al., “The NEURON Simulation Environment,” Neural Computation, vol. 9, No. 6, (Aug. 15, 1997), 26 pages.
Hofstoetter, U. S. et al., “Effects of transcutaneous spinal cord stimulation on voluntary locomotor activity in an incomplete spinal cord injured individual”, Biomed Tech, vol. 58 (Suppl. 1), (2013), 3 pages.
Hofstoetter, U. S. et al., “Model of spinal cord reflex circuits in humans: Stimulation frequency-dependence of segmental activities and their interactions”, Second Congress International Society of Intraoperative Neurophysiology (ISIN), Dubrovnik, Croatia, (2009), 149 pages.
Hofstoetter, U. S. et al., “Modification of spasticity by transcutaneous spinal cord stimulation in individuals with incomplete spinal cord injury”, The Journal of Spinal Cord Medicine, vol. 37, No. 2, (2014), pp. 202-211.
Ivanenko, Y. P. et al., “Temporal Components of the Motor Patterns Expressed by the Human Spinal Cord Reflect Foot Kinematics,” Journal of Neurophysiology, vol. 90, No. 5, Nov. 2003, Published Online Jul. 9, 2003, (2003), 11 pages.
Jarosiewicz, B. et al., “Supplementary Materials for Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface,” Science Translational Medicine, vol. 7, No. 313, (Nov. 11, 2015), 26 pages.
Jarosiewicz, B. et al., “Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface,” Science Translational Medicine, vol. 7, No. 313, (Nov. 11, 2015), 11 pages.
Jilge, B. et al., “Initiating extension of the lower limbs in subjects with complete spinal cord injury by epidural lumbar cord stimulation”, Exp Brain Res., vol. 154, (2004), pp. 308-326.
Johnson, W. L. et al., “Application of a Rat Hindlimb Model: A Prediction of Force Spaces Reachable Through Stimulation of Nerve Fascicles,” IEEE Transactions on Bio-Medical Engineering, vol. 58, No. 12, Available Online Jan. 17, 2011, (Dec. 2011), 11 pages.
Jones, D. R. et al., “Efficient Global Optimization of Expensive Black-Box Functions”, Journal of Global Optimization, vol. 13, (1998), pp. 455-492.
Jones, K. E. et al., “Computer Simulation of the Responses of Human Motoneurons to Composite 1A EPSPS: Effects of Background Firing Rate,” The Journal of Physiology, vol. 77, No. 1, (1997), 16 pages.
JP Office Action dated Nov. 21, 2022, in Application No. 2021-188658 with English translation.
JP Office Action dated Feb. 17, 2023 in Application No. JP2019-539960 with English translation.
JP Office Action dated Nov. 29, 2021, in Application No. JP2019-539960 with English translation.
JP Office Action dated Sep. 26, 2022, in Application No. JP2019-539960 with English translation.
JP Office Action dated Jul. 18, 2023, in Application No. JP2021-509772 with English translation.
Kakulas, B., “A Review of the Neuropathology of Human Spinal Cord Injury with Emphasis on Special Features,” Proceedings of the Donald Munro Memorial Lecture at the American Paraplegia Society 44th Annual Conference, Las Vegas, Nevada, (Sep. 9, 1998), 6 pages.
Kirkwood, P., “Neuronal Control of Locomotion: From Mollusc to Man—G.N. Orlovsky, T.G. Deliagina and S. Grillner. Oxford University Press, Oxford, 1999. ISBN 0198524056 (Hbk), 322 pp.,” Clinical Neurophysiology, vol. 111, No. 8, Published Online Jul. 17, 2000, (Aug. 1, 2000), 2 pages.
Kleinberg, R. et al., “Multi-armed bandits in metric spaces”, In STOC, Computer and Automation Research Institute of the Hungarian Academy of Sciences, Budapest, Hungary, (2008), pp. 681-690.
Kocsis, L. et al. “Bandit Based Monte-Carlo Planning”, European Conference on Machine Learning, Springer, Berlin, Heidelberg, (Sep. 2006), pp. 282-293.
Krassioukov, A. et al., “A Systematic Review of the Management of Autonomic Dysreflexia Following Spinal Cord Injury,” Archives of Physical Medicine and Rehabilitation, vol. 90, No. 4, Apr. 2009, 27 pages.
Krassioukov, A. et al., “A Systematic Review of the Management of Orthostatic Hypotension Following Spinal Cord Injury,” Archives of Physical Medicine and Rehabilitation, vol. 90, No. 5, May 2009, 22 pages.
Krause, A. et al. “Contextual Gaussian Process Bandit Optimization”, In Advances in Neural Information Processing Systems (NIPS), (2011), 9 pages.
Krause, A. et al., “Near-optimal Nonmyopic Value of Information in Graphical Models”, In UAI, (2005), 8 pages.
Krause, A. et al. “Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies”, Journal of Machine Learning Research (JMLR), vol. 9, (Feb. 2008), pp. 235-284.
Krenn et al. (2013) “Selectivity of transcutaneous stimulation of lumbar posterior roots at different spinal levels in humans.” Biomed Tech (Berl) 58 (Suppl. 1) DOI 10.1515/bmt-2013-4010, 2 pages.
Kwakkel, G. et al., “Effects of Robot-assisted therapy on upper limb recovery after stroke: A Systematic Review,” Neurorehabilitation and Neural Repair, vol. 22, No. 2, Published Online Sep. 17, 2007, (Mar. 2008), 11 pages.
Ladenbauer et al. (2010) “Stimulation of the human lumbar spinal cord with implanted and surface electrodes: a computer simulation study.” IEEE Trans Neural Syst Rehabil Eng. 18:637-45.
Lavrov, I. et al., “Epidural Stimulation Induced Modulation of Spinal Locomotor Networks in Adult Spinal Rats,” Journal of Neuroscience, vol. 28, No. 23, (Jun. 4, 2008), 8 pages.
Liu, J. et al., “Stimulation of the Parapyramidal Region of the Neonatal Rat Brain Stem Produces Locomotor-Like Activity Involving Spinal 5-HT7 and 5-HT2A Receptors”, Journal of Neurophysiology, vol. 94, No. 2, Published Online May 4, 2005, (Aug. 1, 2005), 13 pages.
Lizotte, D. et al., “Automatic gait optimization with Gaussian process regression”, In IJCAI, (2007), pp. 944-949.
Lovely, R. et al., “Effects of Training on the Recovery of Full-Weight-Bearing Stepping in the Adult Spinal Cat,” Experimental Neurology, vol. 92, No. 2, (May 1986), 15 pages.
Lozano, A. et al., “Probing and Regulating Dysfunctional Circuits Using Deep Brain Stimulation,” Neuron, vol. 77, No. 3, (Feb. 6, 2013), 19 pages.
McIntyre, C. C. et al., “Modeling the Excitability of Mammalian Nerve Fibers: Influence of Afterpotentials on the Recovery Cycle,” Journal of Neurophysiology, vol. 87, No. 2, (Feb. 2002), 12 pages.
Minassian et al., “Mechanisms of rhythm generation of the human lumbar spinal cord in repose to tonic stimulation without and with step-related sensory feedback”, Biomed Tech, vol. 58, (Suppl. 1), (2013), 3 pages.
Minassian, K. et al., “Human lumbar cord circuitries can be activated by extrinsic tonic input to generate locomotor-like activity”, Human Movement Science, vol. 26, No. 2, (2007), pp. 275-295.
Minassian, K. et al., “Neuromodulation of lower limb motor control in restorative neurology”, Clinical Neurology and Neurosurgery, vol. 114, (2012), pp. 489-497.
Minassian, K. et al., “Peripheral and Central Afferent Input to the Lumbar Cord”, Biocybernetics and Biomedical Engineering, vol. 25, No. 3, (2005), pp. 11-29.
Minassian, K. et al., “Stepping-like movements in humans with complete spinal cord injury induced by epidural stimulation of the lumbar cord: electromyographic study of compound muscle action potentials”, Spinal Cord, vol. 42, (2004), pp. 401-416.
Minev, I. R. et al., “Electronic dura mater for long-term multimodal neural interfaces,” Science Magazine, vol. 347, No. 6218, (Jan. 9, 2015), 64 pages.
Minoux, M., Accelerated greedy algorithms for maximizing submodular set functions. Optimization Techniques, LNCS, (1978), pp. 234-243.
Moraud, E. et al., “Mechanisms Underlying the Neuromodulation of Spinal Circuits for Correcting Gait and Balance Deficits after Spinal Cord Injury,” Neuron, vol. 89, No. 4, Feb. 17, 2016, Published Online Feb. 4, 2016, 15 pages.
Murg, M et al., “Epidural electric stimulation of posterior structures of the human lumbar spinal cord: 1. Muscle twitches—a functional method to define the site of stimulation”, Spinal Cord, vol. 38, (2000), pp. 394-402.
Musienko, P. et al., “Combinatory Electrical and Pharmacological Neuroprosthetic Interfaces to Regain Motor Function After Spinal Cord Injury,” IEEE Transactions on Biomedical Engineering, vol. 56, No. 11, Published Online Jul. 24, 2009, (Nov. 2009), 5 pages.
Musienko, P. et al., “Controlling specific locomotor behaviors through multidimensional monoaminergic modulation of spinal circuitries,” The Journal of Neuroscience, vol. 31, No. 25, (Jun. 22, 2011), 15 pages.
Musienko, P. et al. “Multi-system neurorehabilitative strategies to restore motor functions following severe spinal cord injury,” Experimental Neurology, vol. 235, No. 1, Published Online Sep. 7, 2011, (May 2012), 10 pages.
Musselman, K. et al., “Spinal Cord Injury Functional Ambulation Profile: A New Measure of Walking Ability,” Neurorehabilitation and Neural Repair, vol. 25, No. 3, Published Online Feb. 25, 2011, (Mar. 2011), 9 pages.
Nandra, M. S. et al., “A wireless microelectrode implant for spinal cord stimulation and recording in rats”, Presentation Abstract, 2013, 104 pages.
National Health Service., “Lumbar Decompression Surgery: When it's used”, NHS, Apr. 28, 2022, https://www.nhs.uk/conditions/lumbar-decompression-surgery/why-its-done/#:-:text=Cauda%20equina%20syndrome%20is%20a,is%20severe%20or%20getting%20worse.
Nessler, J. et al., “A Robotic Device for Studying Rodent Locomotion After Spinal Cord Injury,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, No. 4, (Dec. 12, 2005), 10 pages.
PCT International Preliminary Report on Patentability and Written Opinion dated Dec. 2, 2021 issued in PCT/US2020/033830.
Pearson, K. G., “Generating the walking gait: role of sensory feedback,” Progress in Brain Research, vol. 143, Chapter 12, Published Online Nov. 28, 2003, (2004), 7 pages.
Phillips, A. et al., “Contemporary Cardiovascular Concerns after Spinal Cord Injury: Mechanisms, Maladaptations, and Management,” Journal of Neurotrama, vol. 32, No. 24, Dec. 15, 2015, 17 pages.
Phillips, A. et al., “Perturbed and spontaneous regional cerebral blood flow responses to changes in blood pressure after high-level spinal cord injury: the effect of midodrine,” Journal of Applied Physiology, vol. 116, No. 6, Mar. 15, 2014, Available Online Jan. 16, 2014, 9 pages.
Phillips, A. et al., “Regional neurovascular coupling and cognitive performance in those with low blood pressure secondary to high-level spinal cord injury: improved by alpha-1 agonist midodrine hydrochloride,” Journal of Cerebral Blood Flow & Metabolism, vol. 34, No. 5, May 2014, 8 pages.
Pratt, G. et al., “Stiffness Isn't Everything,” Proceedings of the Fourth International Symposium on Experimental Robotics, (Jun. 30, 1995), 6 pages.
Pratt, J. et al., “Series elastic actuators for high fidelity force control,” Industrial Robot: An International Journal, vol. 29, No. 3, Available as Early as Jan. 1, 2002, (2002), 13 pages.
Prochazka, A. et al., “Ensemble firing of muscle afferents recorded during normal locomotion in cats,” The Journal of Physiology, vol. 507, No. 1, (Feb. 15, 1998), 12 pages.
Prochazka, A. et al., “Models of ensemble filing of muscle spindle afferents recorded during normal locomotion in cats,” The Journal of Physiology, vol. 507, No. 1, (Feb. 15, 1998), 15 pages.
Pudo, D. et al., “Estimating Intensity Fluctuations in High Repetition Rate Pulse Trains Generated Using the Temporal Talbot Effect”, IEEE Photonics Technology Letters, vol. 18, No. 5, (Mar. 1, 2006), 3 pages.
Rasmussen, C. E. et al., “Gaussian Processes for Machine Learning (GPML) Toolbox”, The Journal of Machine Learning Research, vol. 11, (2010), pp. 3011-3015.
Rasmussen, C. E. et al., “Gaussian Processes for Machine Learning”, The MIT Press, Cambridge, Massachusetts, (2006), 266 pages.
Rasmussen, C. E. “Gaussian Processes in Machine Learning”, L.N.A.I., vol. 3176, (2003) pp. 63-71.
Rattay, F. et al., “Epidural electrical stimulation of posterior structures of the human lumbosacral cord: 2. Quantitative analysis by computer modeling”, Spinal Cord, vol. 38, (2000), pp. 473-489.
Reinkensmeyer, D. et al., “Tools for understanding and optimizing robotic gait training,” Journal of Rehabilitation Research & Development, vol. 43, No. 5, (Aug. 2006), 14 pages.
Rejc, E. et al., “Effects of Lumbosacral Spinal Cord Epidural Stimulation for Standing after Chronic Complete Paralysis in Humans,” PLoS One, vol. 10, No. 7, (Jul. 24, 2015), 20 pages.
Robbins, H., “Some Aspects of the Sequential Design of Experiments”, Bull. Amer. Math. Soc., vol. 58, (1952), pp. 527-535.
Rosenzweig, E. et al., “Extensive Spontaneous Plasticity of Corticospinal Projections After Primate Spinal Cord Injury”, Nature Neuroscience, vol. 13, No. 12, Published Online Nov. 14, 2010, (Dec. 2010), 19 pages.
Roy et al. (2012) “Effect of percutaneous stimulation at different spinal levels on the activation of sensory and motor roots.” Exp Brain Res. 223:281-9.
Ryzhov, I. O. et al., “The knowledge gradient algorithm for a general class of online learning problems”, Operations Research, vol. 60, No. 1, (2012), pp. 180-195.
Sayenko, D. et al., “Neuromodulation of evoked muscle potentials induced by epidural spinal-cord stimulation in paralyzed individuals,” Journal of Neurophysiology, vol. 111, No. 5, Published Online Dec. 11, 2013, (2014), 12 pages.
Sayenko et al. (2014) “Neuromodulation of evoked muscle potentials induced by epidural spinal-cord stimulation in paralyzed individuals.” J Neurophysiol. 111:1088-99.
Sayenko et al. (2015) “Spinal segment-specific transcutaneous stimulation differentially shapes activation pattern among motor pools in humans.” J Appl Physiol. 118:1364-74.
Shafik, A (1996) “Extrapelvic cavernous nerve stimulation in erectile dysfunction. Human study” Andrologia 28(3):151-6. doi: 10.1111/j.1439-0272.1996.tb02774.x [Abstract—2 pages].
Shafik, et al. (2000) “Magnetic stimulation of the cavernous nerve for the treatment of erectile dysfunction in humans” International Journal of Impotence Research 12: 137-141.
Shamir, R. R. et al., “Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease,” Brain Stimulation, vol. 8, No. 6, Published Online Jun. 15, 2015, (Nov. 2015), 22 pages.
Srinivas, N. et al., “Gaussian process optimization in the bandit setting: No regret and experimental design”, In Proceedings of the 27th International Conference on Machine Learning, (2010), 17 pages.
Steward, O. et al., “False Resurrections: Distinguishing Regenerated from Spared Axons in the Injured Central Nervous System”, The Journal of Comparative Neurology, vol. 459, No. 1, (Apr. 21, 2003), 8 pages.
Stienen, A. H. A. et al., “Analysis of reflex modulation with a biologically realistic neural network,” Journal of Computer Neuroscience, vol. 23, No. 3, Available Online May 15, 2007, (Dec. 2007), 16 pages.
Sun, F. et al., “Sustained axon regeneration induced by co-deletion of PTEN and SOCS3”, Nature, vol. 480, No. 7377, Published Online Nov. 6, 2011, (Dec. 15, 2011), 12 pages.
Takeoka, A. et al., “Muscle Spindle Feedback Directs Locomotor Recovery and Circuit Reorganization after Spinal Cord Injury”, Cell, vol. 159, No. 7, (Dec. 18, 2014), 27 pages.
Temel, et al. (2004) “Deep brain stimulation of the thalamus can influence penile erection” International Journal of Impotence Research 16: 91-94.
Tenne, Y. et al., “Computational Intelligence in Expensive Optimization Problems”, vol. 2 of Adaptation, Learning, and Optimization, Springer, Berlin Heidelberg, (2010), pp. 131-162.
Timozyk, W. et al., “Hindlimb loading determines stepping quantity and quality following spinal cord transection,” Brain Research, vol. 1050, No. 1-2, Published Online Jun. 24, 2005, (Jul. 19, 2005), 10 pages.
Troni et al. (2011) “A methodological reappraisal of non invasive high voltage electrical stimulation of lumbosacral nerve roots.” Clin Neurophysiol. 122:2071-80.
U.S. Final Office Action dated Apr. 6, 2023 in U.S. Appl. No. 16/615,765.
US Final Office Action dated Dec. 6, 2021 issued in U.S. Appl. No. 16/615,765.
U.S. Final Office Action dated Jun. 1, 2023 in U.S. Appl. No. 16/479,201.
US Final Office Action dated Nov. 26, 2021 issued in U.S. Appl. No. 15/740,323.
U.S. Final Office Action dated Oct. 13, 2022, in U.S. Appl. No. 17/269,970.
U.S. Non Final Office Action dated Aug. 25, 2022 in U.S. Appl. No. 16/479,201.
U.S. Non-Final Office Action dated Apr. 28, 2023, in U.S. Appl. No. 17/270,402.
U.S. Non-Final Office Action dated Feb. 15, 2023 in U.S. Appl. No. 15/740,323.
U.S. Non-Final office Action dated Jun. 20, 2022 in U.S. Appl. No. 16/615,765.
U.S. Non-Final office Action dated May 11, 2022, in U.S. Appl. No. 15/740,323.
US Notice of Allowance dated Dec. 13, 2021 issued in U.S. Appl. No. 15/753,963.
US Notice of Allowance dated Mar. 4, 2022 issued in U.S. Appl. No. 15/975,678.
US Office Action dated Jan. 5, 2022 issued in U.S. Appl. No. 17/269,970.
U.S. Restriction Requirement dated Apr. 19, 2022 in U.S. Appl. No. 16/479,201.
U.S. Restriction Requirement dated Dec. 1, 2022 in U.S. Appl. No. 17/270,402.
Vallery, H. et al., “Compliant Actuation of Rehabilitation Robots,” IEEE Robotics & Automation Magazine, vol. 15, No. 3, (Sep. 12, 2008), 10 pages.
Van Den Brand, R. et al., “Restoring Voluntary Control of Locomotion after Paralyzing Spinal Cord Injury,” Science Magazine, vol. 336, No. 6085, (Jun. 1, 2012), 5 pages.
Vital Signs—Cleveland Clinic [retrieved on Nov. 22, 2021] Retrieved from the Internet: URL: https://my.clevelandclinic.org/health/articles/10881-vital-signs [7 pages].
Wan, D. et al., “Life-threatening outcomes associated with autonomic dysreflexia: A clinical review,” Journal of Spinal Cord Medicine, vol. 37, No. 1, (Jan. 2014), 9 pages.
Wenger, N. et al. “Closed-loop neuromodulation of spinal sensorimotor circuits controls refined locomotion after complete spinal cord injury” Sci Transl Med. Sep. 24, 2014, vol. 6, Issue 255, (10 pages).
Wenger, N. et al., “Spatiotemporal neuromodulation therapies engaging muscle synergies improve motor control after spinal cord injury,” Natural Medicine, vol. 22, No. 2, Available Online Jan. 18, 2016, (Feb. 2016), 33 pages.
Wenger, N. et al., “Supplementary Materials for Closed-loop neuromodulation of spinal sensorimotor circuits controls refined locomotion after complete spinal cord injury,” Science Translational Medicine, vol. 6, No. 255, Sep. 24, 2014, 14 pages.
Wernig, A. et al., “Laufband locomotion with body weight support improved walking in persons with severe spinal cord injuries”, Paraplegia, vol. 30, No. 4, (Apr. 1992), 10 pages.
Wernig, A., “Ineffectiveness of Automated Locomotor Training,” Archives of Physical Medicine and Rehabilitation, vol. 86, No. 12, (Dec. 2005), 2 pages.
Wessels, M. et al., “Body Weight-Supported Gait Training for Restoration of Walking in People With an Incomplete Spinal Cord Injury: A Systematic Review,” Journal of Rehabilitation Medicine, vol. 42, No. 6, (Jun. 2010), 7 pages.
Widmer, C. et al., Inferring latent task structure for multitask learning by multiple kernel learning, BMC Bioinformatics, vol. 11, (Suppl 8:S5), (2010), 8 pages.
Winter, D. A et al., “An integrated EMG/biomechanical model of upper body balance and posture during human gait,” Progress in Brain Research, vol. 97, Ch. 32, Available as Early as Jan. 1, 1993, (1993), 9 pages.
Wirz, M. et al., “Effectiveness of automated locomotor training in patients with acute incomplete spinal cord injury: A randomized controlled multicenter trial,” BMC Neurology, vol. 11, No. 60, (May 27, 2011), 9 pages.
Yakovenko, S. et al., “Spatiotemporal Activation of Lumbosacral Motoneurons in the Locomotor Step Cycle,” Journal of Neurophysiology, vol. 87, No. 3, (Mar. 2002), 12 pages.
Zhang, T. C. et al., “Mechanisms and models of spinal cord stimulation for the treatment of neuropathic pain,” Brain Research, vol. 1569, Published Online May 4, 2014, (Jun. 20, 2014), 13 pages.
Zorner, B. et al., “Profiling locomotor recovery: comprehensive quantification of impairments after CNS damage in rodents,” Nature Methods, vol. 7, No. 9, Published Online Aug. 15, 2010, (Sep. 2010), 11 pages.
US Office Action dated Apr. 8, 2015 issued in U.S. Appl. No. 14/355,812.
US Final Office Action dated Sep. 21, 2015 issued in U.S. Appl. No. 14/355,812.
US Notice of Allowance dated Apr. 13, 2016 issued in U.S. Appl. No. 14/355,812.
US Office Action dated Oct. 18, 2016 issued in U.S. Appl. No. 15/208,529.
US Final Office Action dated Jul. 13, 2017 issued in U.S. Appl. No. 15/208,529.
US Office Action dated Jul. 27, 2018 issued in U.S. Appl. No. 15/208,529.
US Final Office Action dated Apr. 19, 2019 issued in U.S. Appl. No. 15/208,529.
US Office Action dated Oct. 28, 2019 issued in U.S. Appl. No. 15/208,529.
US Notice of Allowance dated Jun. 17, 2020 issued in U.S. Appl. No. 15/208,529.
US Office Action dated Oct. 3, 2017 issued in U.S. Appl. No. 15/025,201.
US Notice of Allowance dated Aug. 1, 2018 issued in U.S. Appl. No. 15/025,201.
US Office Action dated Apr. 10, 2020 issued in U.S. Appl. No. 16/200,467.
US Office Action dated Nov. 24, 2020 issued in U.S. Appl. No. 16/200,467.
US Notice of Allowance dated May 19, 2021 issued in U.S. Appl. No. 16/200,467.
US Office Action dated Jul. 13, 2016 issued in U.S. Appl. No. 14/775,618.
US Final Office Action dated Apr. 25, 2017 issued in U.S. Appl. No. 14/775,618.
US Notice of Allowance dated Jan. 18, 2018 issued in U.S. Appl. No. 14/775,618.
US Office Action dated Jan. 8, 2020 issued in U.S. Appl. No. 15/975,678.
US Final Office Action dated Jul. 29, 2020 issued in U.S. Appl. No. 15/975,678.
US Office Action dated Feb. 10, 2021 issued in U.S. Appl. No. 15/975,678.
US Final Office Action dated Jul. 20, 2021 issued in U.S. Appl. No. 15/975,678.
US Office Action dated Oct. 31, 2019 issued in U.S. Appl. No. 15/750,499.
US Final Office Action dated Aug. 6, 2020 issued in U.S. Appl. No. 15/750,499.
US Office Action dated Aug. 6, 2021 issued in U.S. Appl. No. 15/750,499.
US Office Action dated Jul. 22, 2019 issued in U.S. Appl. No. 15/506,696.
US Notice of Allowance dated May 4, 2020 issued in U.S. Appl. No. 15/506,696.
US Office Action dated Jun. 4, 2019 issued in U.S. Appl. No. 15/505,053.
US Notice of Allowance dated Feb. 13, 2020 issued in U.S. Appl. No. 15/505,053.
US 2nd Notice of Allowance dated Jun. 4, 2020 issued in U.S. Appl. No. 15/505,053.
US Office Action dated Apr. 7, 2020 issued in U.S. Appl. No. 15/740,323.
US Final Office Action dated Nov. 20, 2020 issued in U.S. Appl. No. 15/740,323.
US Office Action dated Mar. 29, 2021 issued in U.S. Appl. No. 15/740,323.
US Office Action dated Apr. 17, 2019 issued in U.S. Appl. No. 15/344,381.
US Final Office Action dated Dec. 30, 2019 issued in U.S. Appl. No. 15/344,381.
US Office Action dated Aug. 4, 2020 issued in U.S. Appl. No. 15/344,381.
US Notice of Allowance dated Apr. 27, 2021 issued in U.S. Appl. No. 15/344,381.
US Office Action dated Nov. 13, 2020 issued in U.S. Appl. No. 15/753,963.
US Final Office Action dated Jul. 16, 2021 issued in U.S. Appl. No. 15/753,963.
US Office Action dated May 12, 2021 issued in U.S. Appl. No. 16/615,765.
PCT International Search Report dated Jul. 30, 2012 issued in PCT/US2012/020112.
PCT International Preliminary Report on Patentability and Written Opinion dated Jul. 10, 2013 issued in PCT/US2012/020112.
PCT International Search Report and Written Opinion dated Mar. 19, 2013 issued in PCT/US2012/064878.
PCT International Preliminary Report on Patentability dated May 22, 2014 issued in PCT/US2012/064878.
Australian Patent Examination Report No. 1 dated Jul. 11, 2016 issued in AU 2012334926.
Canadian Office Action dated Aug. 31, 2018 issued in CA 2,864,473.
Canadian Office Action dated Jul. 30, 2019 issued in CA 2,864,473.
Canadian Office Action dated Aug. 14, 2020 issued in CA 2,864,473.
European Communication pursuant to Rule 114(2) EPC regarding observations by a third party dated Mar. 27, 2015 issued in EP 12 847 885.6.
European Extended Search Report dated May 6, 2015 issued in EP 12 847 885.6.
European Office Action dated Apr. 15, 2016 issued in EP 12 847 885.6.
European Reply to Communication of Apr. 15, 2016 dated Oct. 24, 2016 in EP 12 847 885.6.
European Second Office Action dated Feb. 16, 2017 issued in EP 12 847 885.6.
PCT Declaration of Non-Establishment of International Search Report and Written Opinion dated Dec. 24, 2014 issued in PCT/US2014/057886.
PCT International Preliminary Report on Patentability and Written Opinion dated Apr. 7, 2016 issued in PCT/US2014/057886.
Australian Examination report No. 1 dated Jan. 11, 2019 issued in AU 2014324660.
Australian Examination report No. 2 dated Nov. 7, 2019 issued in AU 2014324660.
Australian Examination report No. 3 dated Jan. 6, 2020 issued in AU 2014324660.
Australian Examination report No. 1 dated Dec. 21, 2020 issued in AU 2020200152.
Canadian Office Action dated Nov. 27, 2020 issued in CA 2,925,754.
European Extended Search Report dated May 10, 2017 issued in EP 14849355.4.
European Office Action dated Jul. 20, 2018 issued in EP 14849355.4.
European Extended Search Report dated Jan. 22, 2021 issued in EP 20175385.2.
PCT International Search Report and Written Opinion dated Aug. 6, 2014 issued in PCT/US2014/029340.
PCT International Preliminary Report on Patentability dated Sep. 24, 2015 issued in PCT/US2014/029340.
Australian Patent Examination Report No. 1 dated May 11, 2018 issued in AU 2014228794.
Australian Patent Examination Report No. 1 dated Jan. 6, 2020 issued in AU 2019206059.
Canadian Office Action dated May 7, 2020 issued in CA 2,906,779.
Canadian 2nd Office Action dated Apr. 9, 2021 issued in CA 2,906,779.
European Extended Search Report dated Nov. 8, 2016 issued in EP 14765477.6.
European Office Action dated Nov. 14, 2018 issued in EP 14765477.6.
European Office Action dated Sep. 27, 2019 issued in EP 14765477.6.
European Extended Search Report dated Aug. 17, 2021 issued in EP 21166801.7.
PCT International Search Report and Written Opinion dated Dec. 5, 2016 issued in PCT/US2016/045898.
PCT International Preliminary Report on Patentability and Written Opinion dated Feb. 15, 2018 issued in PCT/US2016/045898.
Chinese First Office Action dated Jan. 6, 2021 issued in CN 201680058067.8.
European Extended Search Report dated Dec. 13, 2018 issued in EP 16833973.7.
PCT International Search Report and Written Opinion dated Dec. 8, 2015 issued in PCT/US2015/047268.
PCT International Preliminary Report on Patentability and Written Opinion dated Feb. 28, 2017 issued in PCT/US2015/047268.
Australian Patent Examination Report No. 1 dated Jul. 18, 2019 issued in AU 2015308779.
Australian Patent Examination Report No. 2 dated May 20, 2020 issued in AU 2015308779.
European Extended Search Report dated Mar. 1, 2018 issued in EP 15836927.2.
European Extended Search Report dated Apr. 21, 2020 issued in EP 19201998.2.
PCT International Search Report and Written Opinion dated Dec. 3, 2015 issued in PCT/US2015/047272.
PCT International Preliminary Report on Patentability and Written Opinion dated Feb. 28, 2017 issued in PCT/US2015/047272.
PCT Declaration of Non-Establishment of International Search Report and Written Opinion dated Dec. 1, 2015 issued in PCT/US2015/046378.
PCT International Preliminary Report on Patentability and Written Opinion dated Feb. 21, 2017 issued in PCT/US2015/046378.
Australian Patent Examination Report No. 1 dated Jun. 14, 2019 issued in AU 2015305237.
Australian Patent Examination Report No. 2 dated Apr. 17, 2020 issued in AU 2015305237.
European Extended Search Report dated Apr. 4, 2018 issued in EP 15834593.4.
European Office Action dated Jul. 17, 2019 issued in EP 15834593.4.
European Office Action dated Jul. 30, 2020 issued in EP 15834593.4.
PCT International Search Report and Written Opinion dated Sep. 12, 2016 issued in PCT/US2016/041802.
PCT International Preliminary Report on Patentability and Written Opinion dated Jan. 25, 2018 issued in PCT/US2016/041802.
European Extended Search Report dated Feb. 19, 2019 issued in EP 16825005.8.
Japanese Office Action dated Jul. 13, 2020 issued in JP 2018-501208.
Japanese 2nd Office Action dated Mar. 22, 2021 issued in JP 2018-501208.
PCT International Search Report and Written Opinion dated Dec. 5, 2016 issued in PCT/US2016/049129.
PCT International Preliminary Report on Patentability and Written Opinion dated Mar. 8, 2018 issued in PCT/US2016/049129.
PCT International Search Report and Written Opinion dated Mar. 12, 2018 issued in PCT/US2018/015098.
PCT International Preliminary Report on Patentability and Written Opinion dated Jul. 30, 2019 issued in PCT/US2018/015098.
European Extended Search Report dated Sep. 7, 2020 issued in EP 18744685.1.
PCT International Search Report and Written Opinion dated Aug. 31, 2018 issued in PCT/US2018/033942.
PCT International Preliminary Report on Patentability and Written Opinion dated Nov. 26, 2019 issued in PCT/US2018/033942.
PCT International Search Report and Written Opinion dated Nov. 14, 2019 issued in PCT/US2019/047777.
PCT International Preliminary Report on Patentability and Written Opinion dated Feb. 23, 2021 issued in PCT/US2019/047777.
PCT International Search Report and Written Opinion dated Nov. 21, 2019 issued in PCT/US2019/047551.
PCT International Preliminary Report on Patentability and Written Opinion dated Feb. 23, 2021 issued in PCT/US2019/047551.
PCT International Search Report and Written Opinion dated Oct. 14, 2020 issued in PCT/US2020/033830.
PCT International Search Report dated Mar. 19, 2013 issued in PCT/US2012/064874.
PCT International Search Report dated Sep. 3, 2012 issued in PCT/US2012/022257.
PCT International Search Report dated Oct. 31, 2012 issued in PCT/US2012/030624.
Andersson, et al., (2003) “CNS Involvement in Overactive Bladder.” Drugs, 63(23): 2595-2611.
Angeli et al. (2014) “Altering spinal cord excitability enables voluntary movements after chronic complete paralysis in humans” Brain 137: 1394-1409.
Courtine, Grégoire et al. (2007) “Modulation of multisegmental monosynaptic responses in a variety of leg muscles during walking and running in humans,” J Physiol. 582.3:1125-1139.
Danner S.M., Hofstoetter U.S., Ladenbauer J., Rattay F., and Minassian K. (Mar. 2011) “Can the human lumbar posterior columns be stimulated by transcutaneous spinal cord stimulation? A modeling study” Europe PMC Funders Author Manuscripts, Artif Organs 35(3):257-262, 12 pp.
DeSantana et al. (Dec. 2008) “Effectiveness of Transcutaneous Electrical Nerve Stimulation for Treatment of Hyperalgesia and Pain,” Curr Rheumatol Rep. 10(6): 492-499, 12 pp.
Drummond, et al. (1996) “Thoracic impedance used for measuring chest wall movement in postoperative patients,” British Journal of Anaesthesia, 77: 327-332.
Dubinsky, Richard M. and Miyasaki, Janis, “Assessment: Efficacy of transcutaneous electric nerve stimulation in the treatment of pain in neurologic disorders (an evidence-based review),” Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology, (2010) Neurology, 74:173-176.
Edgerton and Harkema (2011) “Epidural stimulation of the spinal cord in spinal cord injury: current status and future challenges” Expert Rev Neurother. 11(10): 1351-1353. doi: 10.1586/ern.11.129 [NIH Public Access—Author Manuscript—5 pages].
Fong et al. (2009) “Recovery of control of posture and locomotion after a spinal cord injury: solutions staring us in the face,” Progress in Brain Research, Elsevier Amsterdam, NL, 175:393-418.
Ganley et al., (2005) “Epidural Spinal Cord Stimulation Improves Locomoter Performance in Low ASIA C, Wheelchair-Dependent, Spinal Cord-Injured Individuals: Insights from Metabolic Response,” Top. Spinal Cord Inj. Rehabil;11(2):50-63.
Gerasimenko Y., Gorodnichev R., Machueva E., Pivovarova E., Semyenov D., Savochin A., Roy R.R., and Edgerton V.R., (Mar. 10, 2010) “Novel and Direct Access to the Human Locomotor Spinal Circuitry,” J Neurosci. 30(10):3700-3708, PMC2847395.
Gerasimenko Y.P., Ichiyama R.M., Lavrov I.A., Courtine G., Cai L., Zhong H., Roy R.R., and Edgerton V.R. (2007) “Epidural Spinal Cord Stimulation Plus Quipazine Administration Enable Stepping in Complete Spinal Adult Rats,” J Neurophysiol. 98:2525-2536.
Harkema et al. (2011) “Effect of Epidural stimulation of the lumbosacral spinal cord on voluntary movement, standing, and assisted stepping after motor complete paraplegia: a case study” Lancet 377(9781): 1938-1947; NIH Public Access Author Manuscript 17 pages [doi:10.1016/S0140-6736(11)60547-3].
Herman R., He J., D'Luzansky S., Willis W., Dilli S., (2002) “Spinal cord stimulation facilitates functional walking in a chronic, incomplete spinal cord injured,” Spinal Cord. 40:65-68.
Hofstoetter, U.S. et al. (Aug. 2008) “Modification of Reflex Responses to Lumbar Posterior Root Stimulation by Motor Tasks in Healthy Subjects,” Artif Organs, 32(8):644-648.
Hovey, et al. (2006) “The Guide to Magnetic Stimulation,” The Magstim Company Ltd, 45 pages.
Ichiyama et al. (2005) “Hindlimb stepping movements in complete spinal rats induced by epidural spinal cord stimulation” Neuroscience Letters, 383:339-344.
Kapetanakis, et al. (2017) “Cauda Equina Syndrome Due to Lumbar Disc Herniation: a Review of Literature,” Folia Medica, 59(4): 377-86.
Kitano K., Koceja D.M. (2009) “Spinal reflex in human lower leg muscles evoked by transcutaneous spinal cord stimulation,” J Neurosci Methods. 180:111-115.
Kondo, et al. (1997) “Laser monitoring of chest wall displacement,” Eur Respir J., 10: 1865-1869.
Minasian et al. (2010) “Transcutaneous stimulation of the human lumbar spinal cord: Facilitating locomotor output in spinal cord injury,” Conf. Proceedings Soc. for Neurosci., Abstract No. 286.19, 1 page.
Minassian et al. (Aug. 2011) “Transcutaneous spinal cord stimulation,” International Society for Restorative Neurology, http://restorativeneurology.org/resource-center/assessments/transcutaneous-lumbar-spinal-cord-stimulation/; http://restorativeneurology.org/wp-content/uploads/2011/08/Transcutaneous-spinal-cord-stimulation_long.pdf, 6 pp.
Minassian et al. (Mar. 2007) “Posterior root-muscle reflexes elicited by transcutaneous stimulation of the human lumbosacral cord,” Muscle & Nerve 35:327-336.
Nandra et al., (2014) “Microelectrode Implants for Spinal Cord Stimulation in Rats,” Thesis, California Institute of Technology, Pasadena, California, Defended on Sep. 24, 2014, 104 pages.
Nandra et al., (Jan. 23, 2011) “A Parylene-Based Microelectrode Arrary Implant for Spinal Cord Stimulation in Rats,” Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 1007-1010.
Niu et al., (2018) “A Proof-of-Concept Study of Transcutaneous Magnetic Spinal Cord Stimulation for Neurogenic Bladder,” Scientific Reports, 8: 12549 (12 pages).
Rodger et al., (2007) “High Density Flexible Parylene-Based Multielectrode Arrays for Retinal and Spinal Cord Stimulation,” Transducers & Eurosensors, Proc. Of the 14th International Conference on Solid-State Sensors, Actuators and Microsystems, Lyon, France, Jun. 10-14, 2007, IEEE, pp. 1385-1388.
Szava et al., (Jan. 2011) “Transcutaneous electrical spinal cord stimulation: Biophysics of a new rehabilitation method after spinal cord injury”, ISBN: 978-3-639-34154-6 [95 pages].
Seifert et al. (Nov. 1, 2002) “Restoration of Movement Using Functional Electrical Stimulation and Bayes' Theorem,” The Journal of Neuroscience, 22(1):9465-9474.
Tanabe et al. (2008) “Effects of transcutaneous electrical stimulation combined with locomotion-like movement in the treatment of post-stroke gait disorder: a single-case study,” 30(5):411-416 abstract, 1 page.
Wang, et al. (2017) “Incidence of C5 nerve root palsy after cervical surgery,” Medicine, 96(45), 14 pages.
Ward, Alex R. (Feb. 2009) “Electrical Stimulation Using Kilohertz-Frequency Alternating Current,” (2009) Phys Ther.89(2):181-190 [published online Dec. 18, 2008].
Related Publications (1)
Number Date Country
20210378991 A1 Dec 2021 US
Provisional Applications (1)
Number Date Country
61883694 Sep 2013 US
Continuations (2)
Number Date Country
Parent 16200467 Nov 2018 US
Child 17407043 US
Parent 15025201 US
Child 16200467 US