Deep Brain Stimulation (DBS) is a therapy for the treatment of movement disorders, obsessive-compulsive disorders, depression, and post-traumatic disorders via electrical stimulation of the brain. Despite being clinically used, DBS remains highly inefficient and prone to side-effects. Inefficiency and side-effects can stem from improper stimulation or overstimulation of brain tissue, which leads to fast deterioration of the hardware used to deliver the electrical stimulation, costly maintenance, and frequent surgical replacements.
Example embodiments provide DBS systems and methods for treating a human brain exhibiting a pathological condition. In one embodiment, a DBS system comprises a controller, a driver circuit, and at least one DBS electrode. The controller may be configured to generate a signal waveform defining a series of DBS pulses within an amplitude modulation envelope. A frequency of the amplitude modulation envelope may be less than or equal to half of a frequency of the DB S pulses. The driver circuit may include an input port and an output port and may amplify the signal waveform received from the controller via the input port to produce an electrical waveform available at the output port. The DBS electrode may be electrically coupled to the output port of the driver circuit and configured to convert the electrical waveform to a stimulation waveform to entrain neurons of the deep brain tissue in a normal (e.g., common or nonpathological) oscillation pattern, thereby suppressing the pathological oscillation pattern to treat the pathological condition.
In some embodiments, the DBS system comprises at least one DBS electrode that is configured to be implanted in electrical communication with deep brain tissue within a brain of the patient. The deep brain tissue is known to exhibit a pathological oscillation pattern related to the pathological condition. The region of deep brain tissue is selected from a group consisting of: the hippocampus, amygdala, medial prefrontal cortex, orbitofrontal cortex, anterior cingulate cortex, striatum, including the putamen and the caudate nucleus, thalamus, including the anterior, ventrointermediate, ventrolateral and dorsolateral thalamus, basal ganglia, fornix, dentate nucleus or substantia nigra. In some embodiments, the controller adjusts the signal waveform with the amplitude modulation envelope having characteristics that cause the at least one DBS electrode to produce a stimulation waveform specific to the respective region of deep brain tissue.
In some embodiments, the controller stores parameters for generating the signal waveform that results in the stimulation waveform having characteristics that treat neural pathological conditions. The neural pathological conditions include Parkinson's disease (PD), essential tremor (ET), obsessive compulsive disorder (OCD), depression, epilepsy, or psychiatric disorders such as post-traumatic stress disorder (PTSD). The controller can generate the amplitude modulation envelope at an amplitude and frequency that entrains the respective neurons of the region of deep brain tissue, at which the at least one DBS electrode is located, in the normal oscillation pattern in the region of deep brain tissue at which the at least one DBS electrode is located.
In some embodiments, the controller adjusts the amplitude modulation envelope such that the maximum modulation of the DBS pulse amplitude ranges from about 1 percent to about 100 percent of the maximum allowed pulse amplitude. The maximum modulation is referred to as “depth” hereafter in this application. In some embodiments, the controller generates DBS pulses with a frequency from about 50 Hertz to about 10,000 Hertz and generates the amplitude modulation envelope with a frequency from about 1 Hertz to about 5,000 Hertz.
The controller enables a clinician or the patient to adjust stimulation programming depending on feedback of the patient's reaction to the stimulation waveform. The controller adjusts the amplitude modulation envelope based on a user input.
In some embodiments, the DBS system further comprises at least one sensor that is communicatively coupled to the controller. The at least one sensor includes one of the following sensor types: an electro-chemical sensor, motion sensor, optical sensor, accelerometer, chemical, electrical, ultrasonic, piezoelectric, and imaging device. The at least one sensor is configured to be disposed in or at the patient at a location to observe an expression of an affectation that is symptomatic of the pathological condition. That location is selected from a group consisting of the deep brain tissue at which the at least one DBS electrode is located, a location elsewhere within the patient or a location at which movement of the patient is observable. In some embodiments, the sensor communicatively coupled to the controller provides data from the sensor, or information based on the data, to a clinician via an interface. In some embodiments, the controller adjusts a parameter of the amplitude modulation envelope as a function of the data received from the at least one sensor. In some embodiments, the sensor is further configured to be coupled to an appendage or head of the patient, offset from the patient with an orientation to observe motion of the patient, motion of an appendage of the patient, motion of a head of the patient, or offset from the patient with an orientation to detect eye gaze or eye saccades of the patient. In some embodiments, the location elsewhere within the patient is a subcutaneous, epidural, subdural, intracortical, or subcortical region of the patient.
In some embodiments, the driver circuit of the DBS system operates as a stimulation pattern generator that generates voltage waveform and converts the signal waveform to a current-controlled electrical waveform.
An example embodiment of the invention focuses on developing novel electrical stimulation patterns for use in DBS applications. These temporal patterns modulate the amplitude of electrical stimuli over time per pre-defined profiles. Thus, the embodiment may be leveraged in existing DBS systems or implemented in new systems/hardware, and, thus, may potentially encompass computer-implemented method, software, and hardware.
Embodiments that employ amplitude-modulated DBS (AM-DBS) include pulses that have the same shape and duration, and are equally spaced, while the pulse amplitude varies in time according to a pre-selected rule that is programmed in the pulse generator. For example, the pulse amplitude Ak of the generic k-th pulse at the generic time tk may vary according to the rule. Embodiments that employ AM-DBS may entrain neurons in a common oscillation at the frequency f of the envelope function, which will support the suppression of ongoing pathological oscillations that are prevalent in patients with neurological diseases (e.g., Parkinson's Disease [PD]) and that are also well-correlated with clinical symptoms.
The foregoing will be apparent from the following more particular description of example embodiments, as illustrated in the accompanying drawings in which like reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating embodiments.
Example embodiments provide a system and method for safe, effective and efficient deep brain stimulation (DBS), serving as a means for successful treatment of movement disorders, obsessive-compulsive disorders, depression, epilepsy, and psychiatric disorders via electrical stimulation. A description of example embodiments follows.
“Entrain” describes a process of aligning of neuronal activity to the temporal structure of external rhythmic input streams. Entrainment usually entails phase alignment of brain oscillations (phase entrainment), but can also present as the alignment of rhythmically generated oscillatory events or bursts.
“Normal oscillation” describes normal rhythmic and/or repetitive electrical activity generated spontaneously and in response to stimuli by neural tissue in the central nervous system, which play a significant role in sensory-cognitive processes. Oscillatory electrical activity occurs in the brain when groups of neurons synchronize their firing activity. The oscillations are classified according to the neuron firing frequency. Alpha oscillations are relatively slow (8-13 Hz) and are associated with closed-eye relaxation; beta oscillations (13 to about 35 Hz) are commonly associated with normal waking consciousness, and motor planning; gamma oscillations (35-70 Hz) are associated with various aspects of perception, movement execution, and consciousness.
“Pathological oscillation” is an aberrant version of a common oscillation, such as, for example, the spike and wave oscillation, which is typical of generalized or absence epileptic seizures, and which resembles normal sleep spindle oscillations. Pathological oscillations are also evident in other movement disorders, as well as neuropsychiatric diseases
“Electrode” is an intracortical device designed to deliver electrical current to the brain or next to a neuron of interest and current is applied at a fixed frequency and time. The electrode elicits action potentials by changing the extracellular environment such that the voltage-gated ion channels open, depolarizing the neuron. Applying too much current can kill nearby cells. In some embodiments, these devices have an ultrafine tapered tip that can be inserted into individual biological cells, and the tips of these devices must be small with respect to the dimensions of the biological cell to avoid cell damage.
“Pathological condition” is a neuropathology that can include genetic disorders, congenital abnormalities or disorders, infections, lifestyle, or environmental health problems including malnutrition, and brain injury, spinal cord injury, nerve, injury, gluten sensitivity and neurochemical imbalances.
“Tissue” is an aggregate of neurons and oligodendrocytes forming a structural material with a specific function, in the nervous system of a multicellular organism.
“Programming phase” refers to a duration in which an example embodiment configures a combination of amplitude (in volts milliamps, depending on the device), frequency (in hertz), and/or pulse width (in microseconds) of the electrical pulses to be delivered by the neural stimulator. A trained physician may be tasked with implementing one or a combination of several programs in a patient exhibiting a pathological condition that optimizes the trade-off between clinical gain (i.e. how much the patient's disorder(s) improve) and side-effects secondary to overstimulation. The programming phase may occur before implantation of the deep brain stimulation device. The pre-programmed frequency of the pulses can be manipulated and may be chosen by the trained physician during the programming phase.
The pulse generator 105 may further include a parameter data store 125, which may include a storage medium (e.g., non-volatile computer memory) to store parameters for a DBS process as described further below. A communications interface 122 may include one or more interfaces for communications external to the pulse generator 105. For example, the communications interface 122 may include a wireless network interface for communicating wirelessly with an external controller 180. The communications interface 122 may also include circuit components that can detect voltages or other biosignals, such as differential amplifier, ADC converter, before such signals are routed to the controller 120. The external controller 180 may include a remote controller (e.g., a touchscreen or push-button device), a computer workstation such as a laptop, or a tablet or mobile computing device, and may be configured to enable user selection and monitoring of a DBS operation. A sensor 112 may also be communicatively coupled to the controller 120 via the communications interface 122 or another interface. The sensor 112 may include one or more individual sensing elements, which may include an electro-chemical sensor, motion sensor, optical sensor, accelerometer, chemical, electrical, ultrasonic, piezoelectric, and/or an imaging device. The sensor 112 may be disposed in or at the patient 190 at a location to observe an expression of an affectation that is symptomatic of the pathological condition. For example, the sensor 112 may be located at the same region of deep brain tissue at which at least one of the DBS electrode 110 is located, a location elsewhere within the patient (e.g., a subcutaneous, epidural, subdural, intracortical, or subcortical region of the patient), or a location at which movement of the patient 190 can be observed. In particular, the sensor 112 may be coupled to an appendage or head of the patient 190, offset from the patient 190 with an orientation to observe motion of the patient, motion of an appendage of the patient 190, motion of a head of the patient 190, or offset from the patient 190 with an orientation to detect eye gaze or eye saccades of the patient 190.
Typical DBS therapies involve the generation and delivery of electric pulses that are equal in amplitude and shape and are set at equal intervals, as exemplified by the profile 301 of
Example embodiments can provide for DBS therapy matching the therapeutic efficacy of current, regular DBS while extending battery life by limiting the amount of electrical stimulation delivered over time. Such examples may develop novel electrical stimulation patterns for use in DBS applications. These temporal patterns may modulate the amplitude of electrical stimuli over time per pre-defined profiles. Such embodiments may be leveraged in existing DBS systems or implemented in new systems/hardware, and, thus, may potentially encompass computer-implemented methods, software, and hardware.
Previous studies of DBS therapies indicate that, while DBS therapies other than regular DBS can be effective in treating movement disorders, the formulation of such DBS therapies is a challenging problem, the solution to which cannot be derived from current DBS design techniques. Furthermore, these studies demonstrate the sensitivity of neurological disorders such as essential tremor and Parkinson's disease to changes in the temporal arrangement of the DBS pulses. Example embodiments, in contrast, provide for modulation of the pulse amplitude rather than the optimization of the temporal arrangement of the DBS pulses.
Example embodiments, such as the system 100, may implement open-loop DBS therapies wherein the amplitude of the electric pulses is varied over time according to a prerecorded function referred to as an amplitude modulation envelope. An amplitude modulation envelope may define the changes in the amplitude of an electrical signal over time. The envelope may be a periodic function with a fixed duration T>0 that is either preconfigured or set by a user, and the values of this function over one period may be generated by the controller 120 in the neurostimulator or stored in a memory buffer (e.g., parameter data store 125) within the pulse generator 105.
where A is the maximum amplitude (e.g., an FDA-approved DBS modality), and parameters d (modulation depth) and f (envelope frequency) are programmed in advance to tailor the pulse stimulation to the patient's actual needs.
In a further embodiment, the amplitude A of DBS pulses may be varied over time t based on a generative rule such as the following equation:
A(t)=A(1+d sin(ωt))
wherein the parameter d may determine the depth of the pulses (i.e., amplitude modulation as exemplified by profiles 302-303) and parameter ω may determine how often the amplitude pattern is repeated (“frequency modulation”). The controller 120 may generate the pulses (e.g., pulses of the signal waveform 142) based on one of the profiles 302-305, or based on patterns obtained by combining an amplitude modulation profile such as the profiles 302-303 with a frequency modulation profile such as the profiles 304-305. The controller 120 can further optimize performance by adjusting the frequency of the envelope function (ω) and the depth of the modulation (d).
Embodiments that employ AM-DBS, as described above, may entrain neurons in a common oscillation at the envelope frequency f, which may support the suppression of ongoing pathological oscillations that are prevalent in patients with neurological diseases (e.g., Parkinson's Disease [PD]) and that are also well-correlated with clinical symptoms. Thus, the underlying mechanism of AM-DBS is different from currently FDA-approved DBS (“regular DBS”). Moreover, in many applications, amplitude-modulated electrical pulses may recruit neurons more effectively than constant-amplitude pulses. A further advantage of example embodiments is backward-compatibility to existing and FDA-approved devices, as such devices may require only minor hardware updates, and can be programmed with a software update to implement AM-DBS operation as described herein. Example embodiments may reduce consumption of an implanted battery by the pulse generator and may be implemented in multiple commercial systems.
The controller 120 may then generate the signal waveform 142 having a signal profile (e.g., profiles 302-305) in accordance with the signal parameters (410). The signal waveform 142 may define a series of DBS pulses within an amplitude modulation envelope function. The frequency of the amplitude modulation envelope may be less than or equal to half of a frequency of the DB S pulses. For example, the controller may generate the DBS pulses with a frequency of about 50 Hertz to about 10,000 Hertz and generate the amplitude modulation envelope with a frequency of about 1 Hertz to about 5,000 Hertz. DBS pulses with a frequency of about 130 Hertz to about 185 Hertz, in combination with an amplitude modulation envelope with a frequency of about 1 Hertz to about 92.5 Hertz, may be particularly effective in treating a variety of pathological conditions. The controller 120 may generate the amplitude modulation envelope at a maximum amplitude and frequency that entrains the respective neurons of the region of deep brain tissue 194, at which the DBS electrode 110 is located, in the normal oscillation pattern in the region of deep brain tissue 194. The controller 120 may further adjust the amplitude modulation envelope of the pulses with a pre-programmed variation in amplitude that entrains the respective neurons of the region of deep brain tissue 194 in the normal oscillation pattern. For example, the controller 120 may adjust the amplitude modulation envelope from about 1 percent depth to 100 percent depth.
The driver 124 may receive the signal waveform, generate a corresponding electrical waveform 144, and transmit the electrical waveform 144 to the DBS electrode 110 via the lead 107 (415). The DBS electrode 110, in turn, may convert the electrical waveform to a stimulation waveform, and apply the stimulation waveform to the deep brain tissue 194 of the patient 190 (420). Further, based on information about the region of deep brain tissue 194 at which the DBS electrode 110 is located, the controller 120 may adjust the signal waveform under parameters to cause the DBS electrode 110 to produce a stimulation waveform specific to the respective region of deep brain tissue 194. As described above, the DBS electrode 110 may be implanted in electrical communication with the deep brain tissue 194, which has been determined to exhibit a pathological oscillation pattern related to the pathological condition. By applying the stimulation waveform to the deep brain tissue 194, the DBS electrode 110 may entrain neurons of the deep brain tissue 194 in a normal oscillation pattern, thereby suppressing the pathological oscillation pattern to treat the pathological condition.
The controller 120 may also adjust the signal waveform 142, and, thus, the stimulation applied by the DBS electrode 110, based on one or more inputs. For example, a clinician or the patient 190 may interface with the external controller 180 to adjust stimulation programming depending on feedback of the patient's reaction to treatment with the stimulation waveform. This feedback may include the patient's 190 subjective experience during the DBS session, observation of the patient 190 by the clinician, and/or feedback collected by the sensor 112 and presented at the external controller 180. Alternatively, the controller 120 may automatically adjust the signal waveform based on feedback collected by the sensor 112 (e.g. a measurement indicating a response of the deep brain tissue 194 during the DBS session) and transmitted via the communications interface 122.
The controller 120 may also provide additional functionality utilizing the sensor 112. For example, the controller 120 may provide data from the sensor 112, or information based on the data, to a clinician or the patient 190 via the external controller 180 (e.g., a display, touchscreen, or other interface). The controller 120 may adjust a parameter of the amplitude modulation envelope of the signal waveform 142 as a function of the data received from the sensor 112. For example, the controller 120 may adjust the signal waveform 142 in response to detecting, via the sensor 112, that the presently-applied stimulation waveform is ineffective in entraining the deep brain tissue 194 to treat the pathological condition, or that the stimulation waveform is providing excessive stimulation to the deep brain tissue 194.
Several neurological conditions are currently treated with DBS. Depending on the type of disease or disorder, the use of DBS is either approved by FDA or currently under investigation. The following list and references therein provide a summary of the disorders for which DBS is indicated. Disorders are organized by clinical manifestations. Example embodiments may be implemented to treat any of the conditions described below:
As depicted, the system 1000 integrates multiple channels (e.g., 16) of constant-current stimulation 1012 & 1014 and voltage monitors 1020, multiple channels (e.g., 2) of neural recording 1024, wireless communication (e.g., via Bluetooth 4.0) 1030, a power management unit, battery monitoring, and other passive components. The microprocessor 1010 can be programmed to generate the stimulation waveforms based on user inputs. For a biphasic voltage signal generation, the microprocessor creates digital codes for monophasic signals, which are, then, converted to analog biphasic signals using a DAC (Digital-to-Analog Converter) with a non-overlapping-two phase signal generation circuits. The data is transmitted from the microprocessor to the DAC via SPI (serial peripheral interface) bus over GPIO (general purpose input output) interface 1012. The voltage waveform of the signal is then converted into current form with a Howland current pump circuit 1014. The biphasic current signals are then directed to a group of electrodes 1028 by switches or a demultiplexer 1016. Voltage transients that result on the stimulating electrode are collected by a multiplexer, shifted up in values, and converted to digital signals by an ADC (analog-to-digital) converter 1020. This operation can also be done within microprocessor's built-in ADC circuits 1010. The digital voltage transient signals are then fed to the user interface 1005, wirelessly through the Bluetooth connection 1030, to monitor and record electrode polarization, and thus, to ensure safety of electrical stimulation. The electrodes 1028 may include more stimulating electrodes, for example, 1000 channels, with additional switches or demultiplexers 1016.
At least two channels were allocated for differential-recordings of evoked or spontaneous neural responses 1024. First, passive high-pass filters attenuated low-frequency components of the signals with a cut-off frequency of, for example, 10 Hz. The cut-off frequency can be varied depending on signals of interested. For example, if only spike activities of neurons are wanted, then the cut-off frequency can be set at 300 Hz. Second, the analog signals were differentiated and amplified. Third, the microcontroller on-chip analog-to-digital conversion (ADC) 1010 was performed. Finally, the digitized evoked neural response signals are sent back to the user interface 1005 through the Bluetooth connection 1030. There can be more than two channels for evoked or spontaneous neural recordings. If more recording electrode are added 1024, for example, 1000 channels, each recorded signal can be differentially-amplified against a ground electrode or against each other in the same manner. These circuits 1000 can be made with surface-mountable devices (SMDs) on PCBs (printed circuit boards) or by VLSI (very large scale integrated) circuits. In addition, with enclosed assembly of individual SMD components, the lead length can be short, which yields faster signal transmission among the peripherals.
The microprocessor such as ARM Cortex processor 1010 can be software-programmed. STM32CubeMX toolchain assigns each pin a specific function, such as for USART (Universal Synchronous/Asynchronous Receiver/Transmitter) communication. Once configured, the codes are generated in the uVision Keil MDK microcontroller develop kit which then provides environment for programming. The microprocessor 1010 may not require receiving commands at all times. Once stimulation settings are set, the microprocessor 1010 may run autonomously for a substantial length of time (e.g., many hours), thereby conserving battery power.
Example embodiments may include a computer program product, including a non-transitory computer-readable medium (e.g., a removable storage medium such as one or more DVD-ROM's, CD-ROM's, diskettes, tapes, etc.) that provides at least a portion of the software instructions for the invention system. The computer program product can be installed by any suitable software installation procedure, as is well known in the art. In another embodiment, at least a portion of the software instructions may also be downloaded over a cable communication and/or wireless connection. The computer program product may be transmitted via a propagation medium (e.g., a radio wave, an infrared wave, a laser wave, a sound wave, or an electrical wave propagated over a global network such as the Internet, or other network(s)). Such carrier medium or signals may be employed to provide at least a portion of the software instructions for routines/programs of example embodiments.
While example embodiments have been particularly shown and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the embodiments encompassed by the appended claims.
This application claims the benefit of U.S. Provisional Application No. 62/818,649, filed on Mar. 14, 2019. The entire teachings of the above application are incorporated herein by reference.
This invention was made with government support under grant no. DC014044 from the National Institutes of Health. The government has certain rights in the invention.
Filing Document | Filing Date | Country | Kind |
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PCT/US2020/022726 | 3/13/2020 | WO | 00 |
Number | Date | Country | |
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62818649 | Mar 2019 | US |