Patent Application
20230270368
The present invention relates generally to methods and systems for neural stimulation. In particular, the methods and systems of the present disclosure can provide stimulation signals, including musical and visual stimulation signals, to induce synchronized oscillations in the brain of a subject.
Neural oscillation occurs in humans and animals and includes rhythmic or repetitive neural activity in the central nervous system. Neural tissue can generate oscillatory activity by mechanisms within individual neurons or by interactions between neurons. Oscillations can appear as either periodic fluctuations in membrane potential or as rhythmic patterns of action potentials, which can produce oscillatory activation of post-synaptic neurons. Synchronized activity of a group of neurons can give rise to macroscopic oscillations, which can be observed by sensing electrical or magnetic fields in the brain using techniques such as electroencephalography (EEG), intracranial EEG (iEEG), also known as electrocorticography (ECoG), and magnetoencephalography (MEG).
Neural oscillations can be characterized by their frequency, amplitude, and phase. These signal properties can be observed from neural recordings using time-frequency analyses. For example, an EEG can measure oscillatory activity among a group of neurons, and the measured oscillatory activity can be categorized into frequency bands as follows: delta activity corresponds to a frequency band from 0.5-4 Hz; theta activity corresponds to a frequency band from 4-8 Hz; alpha activity corresponds to a frequency band from 8-13 Hz; beta activity corresponds to a frequency band from 13-30 Hz; and gamma activity corresponds to a frequency band of 30 Hz and above.
Neural oscillations of different frequency bands can be associated with cognitive states or cognitive functions such as perception, action, attention, reward, learning, and memory. Based on the cognitive state or cognitive function, the neural oscillations in one or more frequency bands may be involved. Further, neural oscillations in one or more frequency bands can have beneficial effects or adverse consequences on one or more cognitive states or functions.
Neural entrainment occurs when an external stimulation of a particular frequency or combination of frequencies is perceived by the brain and triggers neural activity in the brain that results in neurons oscillating at frequencies related to the particular frequencies of the external stimulation. Thus, neural entrainment can refer to synchronizing neural oscillations in the brain using external stimulation such that the neural oscillations occur at the frequencies corresponding to the particular frequencies of the external stimulation. Neural entrainment can also refer to synchronizing neural oscillations in the brain using external stimulation such that the neural oscillations occur at frequencies that correspond to harmonics, subharmonics, integer ratios, and combinations of the particular frequencies of the external stimulation. The specific neural oscillatory frequencies that can be observed in response to a set of external stimulation frequencies are predicted by models of neural oscillation and neural entrainment.
Cognitive functions such as learning and memory involve coordinated activity across distributed subcortical and cortical brain regions, including hippocampus, cortical and subcortical association areas, sensory regions, and prefrontal cortex. Across different brain regions, behaviorally relevant information is encoded, maintained, and retrieved through transient increases in the power of and synchronization between neural oscillations that reflect multiple frequencies of activity.
In particular, oscillatory neural activity in the theta and gamma frequency bands are associated with encoding, maintenance, and retrieval processes during short-term, working, and long-term memory. Induced gamma activity has been implicated in working memory, with increases in scalp-recorded and intracranial gamma-band activity occurring during working-memory maintenance. Increases in the power of gamma activity dynamically track the number of items maintained in working memory. Using electrocorticography (ECoG), one study found enhancements in gamma power tracked working-memory load in the hippocampus and medial temporal lobe, as participants maintained sequences of letters or faces in working memory. Finally, other evidence indicates that hippocampal gamma activity aids episodic memory, with distinct sub-gamma frequency bands corresponding to encoding and retrieval stages.
Theta oscillations (4-8 Hz) have been linked to working and episodic memory processes. Intracranial EEG (iEEG) recordings demonstrate that, during working memory, theta oscillations gate on and off (i.e., increase and sustain in amplitude, before rapidly decreasing in amplitude) over the encoding, maintenance, and retrieval stages. Other work has observed increases in scalp-recorded theta activity during working-memory maintenance. A recent systematic review concluded that scalp-recorded theta activity, emerging from frontal-midline electrodes, was the most robust neural correlation of verbal working-memory maintenance. Moreover, frontal-midline theta activity tracks working-memory load, increasing and sustaining in power as a function of the number of items maintained in working memory.
Prior art studies have found that gamma-frequency, auditory-visual stimulation can ameliorate dementia or Alzheimer's Disease (AD)-related biomarkers and pathophysiologies, and, if administered during an early stage of disease progression, can provide neuroprotection.
However, auditory stimulation at gamma frequencies is perceived as rough and unpleasant to human listeners. In a prior art study by Malchano & Williams, the subject's physiological and attentional states are monitored, while “orchestration policies” switch between modalities of stimulation within treatment sessions. This study found that gamma frequency auditory stimulation may not be well-tolerated by patients, and may be problematic to administer for the long periods of time required to produce clinical benefits.
To combat the rough and unpleasant nature of auditory stimulation at gamma frequencies, prior art solutions have contemplated embedding gamma frequency auditory stimulation within musical signals—reasoning that a spoonful of sugar may help the medicine go down. There are several problems with this approach. First, most music includes changing bass frequencies in the gamma range, and bass frequencies are the most important cue to harmony perception. Thus, it may be difficult or impossible to incorporate additional gamma frequency sounds in a manner that is harmonious with the existing music. In other words, this approach would not cover up the aversive auditory gamma stimulation; it would simply make the music sound bad.
Yet another problem with embedding gamma frequency auditory stimulation within a musical signal is that the brain's natural response to music already includes gamma frequency responses. The natural neural gamma frequency response to music can interfere with additional auditory gamma stimulation in a way that renders the therapeutic stimulation ineffective. Additionally, prior art systems only stimulate one specific frequency. A common outcome of such stimulation is neural adaptation, which leads to a reduced neural response over time.
U.S. Pat. Nos. 10,293,177, 10,279,192, and 10,307,611, all assigned to Cognito Therapeutics, Inc., are examples of this type of prior art gamma frequency auditory stimulation. The technology disclosed therein includes methods for playing musical audio signals in addition to auditory stimulus pulses at a specific gamma frequency. As noted above, however, the pure overlay of gamma frequency audio stimulus onto an existing audio signal decreases the patient's ability to tolerate the treatment and lowers the efficacy of the treatment.
To solve these and other prior art problems, in preferred embodiments, systems and methods of the present disclosure are directed to neural stimulation via rhythmic light stimulation that is presented simultaneously with auditory stimulation through music. The combination of music and light stimuli can elicit neural oscillation effects or stimulation. The combined stimuli can adjust, control or otherwise affect the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states, cognitive functions, the immune system or inflammation, while mitigating or preventing adverse consequences on a cognitive state or cognitive function. For example, systems and methods of the present technology can treat, prevent, protect against or otherwise affect Alzheimer's Disease.
In the figures:
The present inventors have discovered that music entrains and drives neural activity in multiple frequency ranges, and that therefore musical stimulation itself can entrain and drive oscillatory neural activity that is involved in learning, memory, and cognition. In preferred embodiments, the present invention relies on the brain's natural delta, theta, and gamma frequency responses to music by providing music as the sole auditory stimulus in a system and method for treating, preventing, protecting against or otherwise affecting Alzheimer's Disease and dementia. In preferred embodiments of the invention, the audio stimulus is coupled with visual stimulation in the delta, theta, and/or gamma frequency bands, which is choreographed by an entrainment simulator to synchronize with the delta, theta and/or gamma frequency bands of the brain's response to the audio stimulus for enhanced therapeutic effect. In other embodiments of the present invention, additional frequencies and frequency bands can be targeted for stimulation, to treat, prevent, and/or protect against Alzheimer's Disease, dementia, and/or other ailments such as Parkinson's Disease.
It has been observed by the present inventors that musical rhythms are organized into well-structured frequency combinations. For example, musical rhythms entrain neural activity in the delta and theta frequency ranges by directly stimulating the brain at these frequencies. The frequency of the basic beat typically corresponds to neural activity in the delta frequency band. Subdivisions of the beat typically correspond to neural activity in the theta frequency band. It has also been found that musical rhythms can drive activity at delta and theta frequencies that are not explicitly present in the rhythms, because musical rhythms contain structured frequency combinations. Frequencies observed in brain activity can include harmonics, subharmonics, integer ratios, and combinations of frequencies present in the musical rhythms, and are predicted by simulations of neural oscillation and neural entrainment.
The inventors have also observed that musical rhythms can drive gamma neural activity in the brain in a way that is different than the entrainment of delta and theta activity. The amplitude of endogenous gamma neural oscillations is modulated, such that amplitude peaks synchronize with musical events (see
The inventive system and corresponding methods work by activating the brain's natural delta, theta, and gamma responses to music in a way that does not interfere with musical enjoyment. Because enjoyment is critical for patient tolerability and completion of protocols, the present invention overcomes the drawbacks of the prior art methods which de-incentivize patient compliance with the treatment by including the abrasive and unpleasant sounds of added audio waves in the gamma frequency band.
In preferred embodiments, the invention also employs visual stimulation in the delta, theta, and/or gamma frequency bands, so as to enhance (as opposed to conflicting with, as in the case of the prior art) the frequencies that are important in musical enjoyment. The inventors believe that this additional aspect of the invention enhances the efficacy of the inventive method because visual stimulation in the gamma band is less aversive than auditory stimulation in the gamma band. In some embodiments, gamma stimulation can be combined with delta and theta stimulation to create visual stimulation that mimics the brain's natural response to musical rhythms. In the inventive system and method, gamma stimulation can be amplitude-modulated (see
In other embodiments, as noted earlier, additional frequency bands may be employed, both via audio or visual stimuli.
In preferred embodiments, the inventive solution outputs an improved set of stimuli which amplify the brain's natural delta, theta, and gamma responses to music in a way that does not create neural interference between the brain's natural oscillatory responses to music and added oscillatory auditory stimulation within the same frequency bands. Specifically, in certain embodiments, the inventive system and method uses a simulation of neural entrainment to determine the frequencies of the brain's natural delta, theta, and gamma responses to music. The inventive system then reinforces and amplifies the natural responses to music by delivering the same delta, theta, and/or gamma frequencies in visual stimulation. The simulation can include delta-theta-gamma phase-amplitude coupling to faithfully mimic the brain's auditory response, and amplify the effect. Thus, the visual stimulation does not interfere with, or cancel, the brain's natural oscillatory responses to music (as in prior art methods), but amplifies them.
Systems and methods of the present invention are directed to outputting stimuli which elicit neural stimulation via rhythmic light stimulation that is presented simultaneously with musical stimulation. The inventive combination of music and rhythmic light pulses can elicit brainwave effects or stimulation. The combined stimuli can adjust, control or otherwise affect the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states, cognitive functions, the immune system or inflammation (or other conditions), while mitigating or preventing adverse consequences on a cognitive state or cognitive function, and maximizing enjoyment, treatment tolerability, and completion of treatment protocol. For example, systems and methods of the present technology can treat, prevent, protect against or otherwise affect Alzheimer's Disease.
The frequencies of neural oscillations observed in patients can be affected by or correspond to the frequencies of the musical rhythm and the rhythmic light pulses. Thus, systems and methods of the present invention can elicit neural entrainment by outputting multi-modal stimuli such as musical rhythms and light pulses emitted at frequencies determined by analysis of the musical rhythm. This combined, multi-modal stimulus can synchronize electrical activity among groups of neurons based on the frequency or frequencies that are entrained and driven by musical rhythm. Neural entrainment can be observed based on the aggregate frequency of oscillations produced by the synchronous electrical activity in ensembles of neurons throughout the brain.
In other embodiments, additional outputs from the system may also include one or more stimulation units for generating tactile, vibratory, thermal and/or electrical transcutaneous stimuli. Such stimulation units may include a mobile device, smart watch, gloves, or other devices that can vibrate. In other embodiments the output device may include stimulation units for generating electromagnetic fields or electrical currents, such as an array of electromagnets or electrodes, to deliver transcranial stimulation.
To achieve the inventive method, the system according to the present invention includes an Auditory Analysis System (AAS) comprising means to receive an auditory input, filter the acoustic signal, detect the onset of acoustic events (e.g., notes or drum hits) and adjust the gain of the resulting signal. In embodiments, the primary function of the AAS is preprocessing an auditory stimulus to provide multi-channel rhythmic inputs (e.g., note onsets). In some embodiments of the present invention, the auditory input is provided by the system, such as by a built-in audio playback system that has access to a library of songs and/or other musical compositions. In such embodiments, the system may further comprise a graphical display and input means accessible to the user (e.g. patient or therapist) to allow the user to make a selection from the library for playback. In other embodiments, in addition to or as an alternative to a built-in audio playback system, the inventive system comprises an auxiliary audio input to allow the system to receive input from a secondary playback system, such as a personal music playback device (e.g. an iPod, MP3 player, smart phone, or the like). In yet other embodiments, in addition to or as an alternative to the above auditory input means, the system comprises a microphone or like means to allow the system to receive auditory input from ambient sound, such as a live musical performance or music broadcast from secondary speakers, such as the user's home stereo system. In order to facilitate one or more of the above auditory input means, in some embodiments, the AAS interfaces with a profile manager comprising a processor or internet-enabled software application accessing non-transitory and/or random-access memory which stores data pertaining to one or more users or patients, such as identifying information (e.g. name or patient ID number) stored information from previous therapies, and/or a library of audio files, in addition to various user preferences, such as song selection.
In embodiments where the audio signal is received by the system through a built-in playback system or auxiliary input such as through a MP3 player, the system may further comprise headphones or integrated speakers to allow the listener to hear the audio signal in real time.
As noted above, the AAS further comprises a filtering module, an onset detection module, and an optional gain control module to filter the signal, detect the onset of acoustic events, and adjust a gain of the resulting signal, respectively.
In some preferred embodiments, the system of the present invention utilizes an Entrainment Simulator (ES) which receives and processes the received audio signal(s) to simulate processing in the human brain, in order to suggest and output oscillation signals to enhance the received audio signal(s) and thereby enhance the therapeutic effect of the inventive treatment. In some embodiments, the AAS is operatively connected to the ES and provides data to the ES in the form of an onset signal. In some embodiments, the ES also interfaces with the profile manager to, e.g., recall patient data from prior therapies. In some embodiments, the primary function of the ES is to simulate entrained neural oscillations to predict the frequency, phase, and amplitude of the human neural response to music.
Also in some preferred embodiments, the inventive system includes an Oscillation Selection Module (OSM). In embodiments, the OSM receives input from the ES and outputs one or more selected oscillation states as frequencies, amplitude, and phases, for visual stimulation.
Collectively, the previously-described components enable the inventive system to, in preferred embodiments, (1) receive auditory input through the one or more means for receiving an audio signal described above, (2) simulate neural entrainment to the pre-processed auditory signal using one or more Entrainment Simulator(s), which may include multi-frequency artificial neural oscillator networks, (3) couple oscillations within the networks using phase-amplitude or phase-phase coupling, (4) use adaptive learning algorithms to adjust coupling parameters and/or intrinsic parameters, and/or (5) select the most prominent oscillations in one or more frequency bands for display as a visual stimulus, via the Brain Rhythm Stimulator, described below.
As noted, in some embodiments, the ES comprises one or more oscillatory neural networks designed to simulate neural entrainment. In embodiments, an artificial oscillatory neural network receives a preprocessed an auditory stimulus (music), and entrains simulated neural oscillations to predict the frequency, phase, and relative amplitudes of the human neural response to the music. The OSM then selects the most prominent oscillations in one or more predetermined frequency ranges (in preferred embodiments, the delta, theta, and gamma frequency bands) for visual stimulation. Via the Brain Rhythm Stimulator (described below), the simulated neural oscillations are used to synchronize visual stimulation in the selected frequency ranges to the rhythm of music via a device such as an LED light ring, as described below.
In some embodiments, the ES may comprise any other means of mimicking an oscillatory neural network, including but not limited to a deep neural network, an oscillator network, a set of numerical formulae, an algorithm, or any other sufficient means. For these purposes, sufficiency means that the simulator should be able to correctly predict the frequencies, phases, and relative amplitudes of oscillations in the typical human brain that are entrained and driven by any given musical stimulus. It should be capable of correctly predicting the responses in at least the delta (1-4 Hz), theta (4-8 Hz) and low gamma (30-50 Hz) frequency bands.
In some embodiments, the OSM according to the present invention couples the visual gamma frequency stimulation to the beat and rhythmic structure of music through phase-amplitude coupling (as described by, e.g., Lakatos et al, An Oscillatory Hierarchy Controlling Neuronal Excitability and Stimulus Processing in the Auditory Cortex, J Neurophysiol 94:1904-1911, 2005. First published 18 May 2005, the contents of which are incorporated herein by reference in their entirety). In preferred embodiments, the OSM selects variable, music-based frequencies in the delta, theta and gamma ranges for visual stimulation to the user, which stimulation is produced by the Brain Rhythm Stimulator (BRS) as described below.
With continued reference to
The device thus simulates an amplitude modulation of the stimulus provided in the gamma frequency band by the phase of stimulation provided in the delta and theta frequency bands, which mimics the brain's natural gamma-delta-theta phase-amplitude coupling response and thereby enhances both tolerance and efficacy of the treatment. As noted above, Panel D of
Moreover, each musical composition played by the system leads to a different choice of frequencies within the delta, theta, and gamma ranges. Thus, over the course of one session, different gamma frequencies are stimulated. By contrast, prior art systems only stimulate one frequency, and a common outcome is neural adaptation, leading to a reduced neural response. In preferred embodiments of the present system, changing frequencies avoid neural adaptation and promote robust neural responses.
In embodiments, the rhythmic visual stimulus selected for output to the user (as described below) therefore includes delta, theta, and/or gamma frequencies, as well as theta-gamma and/or delta-gamma phase-amplitude coupling to enhance naturally occurring oscillatory responses to musical rhythm. The sensory cortices (e.g. primary visual and primary auditory cortices) in the brain are functionally connected to areas important for learning and memory, such as the hippocampus and the medial and lateral prefrontal cortices. Thus, coupling a complex rhythmic visual stimulus, including delta, theta, and gamma-frequency visual stimulation to musical rhythm can drive theta, gamma, and theta gamma coupling in the brain, activating neural circuitry involved in learning, memory, and cognition. This, in turn, can drive learning and memory circuits involved in music. In some embodiments, the system incorporates means to prompt a user to choose his or her own individualized music preferences as an auditory stimulus, which can maximize effectiveness of the given system by stimulating auditory and reward systems in patients with early stages of dementia and cognitive decline.
Comparisons between the auditory and visual stimulus provided by the present invention as compared with an exemplary prior art device are shown in
In preferred embodiments, rhythmic visual stimulation is output to the user via a Brain Rhythm Stimulator (BRS) which is operatively connected to the ES and optional OSM within the inventive system. The BRS can include a pattern buffer, a generation module, adjustment module, and a filtering component, and may be operatively connected to an output device comprising a means of displaying rhythmic light stimulation. The output device may include LED lights, a computer monitor, a TV monitor, goggles, virtual reality headsets, augmented reality glasses, smart glasses, or other suitable stimulation output devices. In some embodiments the output device may be a stimulation unit for generating tactile, vibratory, thermal and/or electrical transcutaneous stimuli, such as in a wearable device, smart watch, or mobile device. In some embodiments the output device may include a stimulation unit for generating electromagnetic fields or electrical currents, such as an array of electromagnets or electrodes, to deliver transcranial stimulation. The BRS can also interface with the profile manager which, as noted above, comprises a processor or internet-enabled software application accessing non-transitory and/or random-access memory which stores data pertaining to one or more users or patients. Thus, in some preferred embodiments, information stored by the profile manager may also include previously-captured or user-selected preferences of patterns, waveforms or other parameters of stimulation, such as colors, preferred by the user/patient.
Collectively, these components enable the BRS to (1) read the patient's profile from the profile manager, (2) select a pattern based on the profile, (3) retrieve one or more selected oscillatory signals and/or states from the ES/OSM, (4) generate a pattern, (5) adjust the pattern based on the profile, and (5) display or output the rhythmic stimulation on an output device. In some embodiments, a pattern refers to a light pattern, and an output device refers to a visual output device.
In some embodiments, a visual output device according to the present invention can include integrated or connected LED lights, a computer monitor, a TV monitor, goggles, virtual reality headsets, augmented reality glasses, smart glasses, or other suitable light output device. In some embodiments the output device may be a stimulation unit for generating tactile, vibratory, thermal and/or electrical transcutaneous stimuli, such as in gloves, a smart watch or other wearable device, or a mobile device. In some embodiments the output device may a stimulation unit for generating electromagnetic fields or electrical currents, such as an array of electromagnets or electrodes, to deliver transcranial stimulation.
In one preferred embodiment, with reference to
Finally, in preferred embodiments, the inventive system includes a Brain Oscillation Monitor (BOM) which provides neural feedback that can be used to optimize the frequency, amplitude, and phase of the visually presented oscillations so as to optimize the frequency, phase, and amplitude of the oscillations in the brain. In embodiments, the BOM provides feedback to the system to allow it to adjust parameters to optimize the phase of outgoing oscillation signals. The BOM can include, interface with, or otherwise communicate with electrodes, magnetometers, or other means of sensing brain activity, a signal amplifier, a filtering component, and a feedback interface component. In preferred embodiments, feedback is provided in the form of EEG signals to the ES.
Collectively, these components enable the BOM to identify the frequency, phase, and amplitude of brain oscillations entrained by the stimulus. The brain oscillation monitor senses electrical or magnetic fields in the brain, amplifies the brain signal, filters the signal to identify specific neural frequencies, and provides input to the ES as set forth above. Means for the BOM to sense electrical or magnetic fields in the brain can include electrodes connected to an electroencephalogram (EEG), intracranial EEG (iEEG), also known as electrocorticography (ECoG), magnetoencephalography (MEG), and other means known in the art.
A schematic diagram showing the various components/modules of the inventive system is shown in
In some embodiments, a schematic diagram showing the high-level interoperability of the inventive components coupled with the resultant brain stimuli is shown in
Accordingly, in a method according to one embodiment of the present invention, the system:
(A) receives an auditory input,
(B) filters the acoustic signal,
(C) detects the onset of acoustic events,
(D) simulates neural entrainment to the pre-processed auditory signal using one or more multi-frequency neural oscillator networks,
(E) couples oscillations within the networks using phase-amplitude or phase-phase coupling,
(F) uses adaptive learning algorithms to adjust coupling parameters and/or intrinsic parameters,
(G) select the most prominent oscillations in the delta, theta, and/or gamma frequency bands for display,
(H) generates a light pattern, and
(I) displays the rhythmic light on a visual output device.
In some preferred embodiments, prior to receiving an audio input the system also performs the steps of prompting the user to select a source of audio input and/or to make a selection from a library of songs or musical compositions stored by the system.
In particular, the present inventors have discovered that self-selected music, that is, music that an individual patient has selected and which he/she is familiar with, is more effective at engaging larger networks of brain activity compared to music selected by others, or music that the patient is not familiar with, in regions of the brain that include the hippocampus as well as the auditory cortex and the frontal lobe regions that are important for long-term memory. They have also found that listening to familiar music is more effective at driving brain activity in older adults, and it activates more brain areas. Importantly, familiar music drives greater activation in the hippocampus, a key region for memory.
Data developed from the present inventors show that music that is selected by the listener is much more likely to be well-liked and familiar to the listener, and is much more effective at engaging brain activity than music that is selected by researchers. In particular, the present inventors have found that, with respect to the present invention, self-selected music increases activity in the dopaminergic reward system, in the default mode network, and in predictive processes of the brain, in addition to activating the auditory system. Without being bound by any particular theory, the present inventors have observed that that prolonged music listening increases the functional connectivity of the brain from sensory cortices towards the dopaminergic reward system, which is responsible for a variety of motivated behaviors.
Therefore, in preferred embodiments of the present invention, the auditory stimulus comprises music which is self-selected by patients, which has the practical impact of maximizing engagement throughout the brain. The present invention thus empowers patients to listen to their favorite musical recordings while watching captivating, audiovisual displays that include delta, theta gamma-frequency stimulation, further improving patient compliance with the disclosed treatment protocol(s).
In yet other preferred embodiments, prior to the steps of generating and displaying a light pattern, the system further prompts the user to select a profile from an input device and/or user interface integrated in or coupled with the system, and performs the following steps: (G2) reads the patient's profile from the profile manager, (G3) selects a light pattern based on the profile, (G4) retrieves one or more oscillatory signals from the ES, (H) generates a light pattern, and (H2) adjusts the light pattern based on the profile.
In certain preferred embodiments, the system also optimizes the frequency, phase, and/or amplitude of outgoing oscillation signals based on data received from the BOM. Accordingly, the system, on an intermittent or ongoing basis, performs the following additional steps: (J) receives input from the BOM, (K) provides input to the ES, (L) couples input through phase-phase coupling, and (M) uses adaptive learning algorithms to adjust coupling parameters and/or intrinsic parameters to optimize the frequency, phase, and amplitude of outgoing oscillation signals.
Thus, the methods according to the present invention provide neural stimulation to a user via at least a presentation of rhythmic visual stimulation simultaneously, synchronously and in coordination with, musical stimulation.
For example, in other embodiments of the present invention, the system generates and displays light patterns based on system self-selection or on profile data housed for an individual user to be displayed simultaneously with musical stimulation. In such embodiments, the system:
(A) selects one or more oscillations in the delta, theta, and/or gamma frequency bands,
(B) generates a light pattern using the one or more oscillations selected, and
(C) displays said light pattern on the visual output device.
The system in this embodiment may also consult a user's profile and selects a light pattern based on the profile. The system may first prompt the user to select a profile from an input device and/or user interface integrated in or coupled with the system, and read the patient's profile from the profile manager in order to determine the proper light pattern to display.
As described herein with respect to various embodiments, the auditory analysis system receives auditory input through a microphone or auxiliary audio input, filters the acoustic signal, detects onset of acoustic events (e.g., notes or drum hits), and adjusts the gain of the resulting signal.
As described herein with respect to various embodiments, the ES receives auditory input from auditory analysis system, simulates neural entrainment to the pre-processed auditory signal using one or more multi-frequency neural oscillator networks using said input, couples oscillations within the networks using phase-amplitude or phase-phase coupling, uses adaptive learning algorithms to adjust coupling parameters and/or intrinsic parameters, selects oscillations for display in the predetermined frequency ranges, based on a retrieved profile. It also receives input from the brain oscillation monitor, provides input to one or more multi-frequency neural networks, couples neural input through phase-phase coupling, and uses adaptive learning algorithms to adjust coupling parameters to optimize the amplitude and phase of outgoing oscillation signals.
As described herein with respect to various embodiments, the BRS reads the patient's profile from the profile manager, selects a light pattern based on the profile, reads one or more oscillatory signals from the ES, selects at least one of a delta frequency, a theta frequency, a gamma frequency, and or a combination of frequencies, whose frequencies, amplitudes and phases are determined by the entrainment simulator, generates a rhythmic light pattern based on the selected frequencies, adjusts the light pattern based on the profile, and displays rhythmic visual stimulation on LEDs, a computer monitor, a TV monitor, or other suitable light output device, which is directed toward the eye.
The result of the inventive method is therefore that the system senses electrical or magnetic fields in the brain, amplifies the brain signal, and filters the signal to identify specific neural frequencies. In some embodiments, the system then collects output from the user's brain based on the brain's receipt of the visual and audio stimulation, and returns this feedback to the ES to further optimize the visual and audio stimulation.
The present inventors have found that the disclosed system and methods can entrain and drive oscillatory neural activity that is involved in learning, memory, and cognition. By providing music as the sole auditory stimulus, plus visual stimulation in the delta, theta, and/or gamma frequency bands, the inventive system and methods can serve as a method for treating, preventing, protecting against or otherwise affecting Alzheimer's Disease and dementia.
The instant invention is an inventive device and method for treating and ameliorating the symptoms of Alzheimer's Disease and dementia. By providing music as the sole auditory stimulus, plus visual stimulation in the delta, theta, and/or gamma frequency bands, the inventive system and methods can serve as a method for treating, preventing, protecting against or otherwise affecting Alzheimer's Disease and dementia. Because Alzheimer's Disease and dementia are conditions which impact a large and growing portion of the world population, the innovative device and method have immediate applicability for treatment of current patients and those who have not yet experienced a full-scale onset of symptoms.
The present invention derives priority from U.S. Provisional Patent Application No. 63/075,516, filed Sep. 8, 2020, the entirety of which is incorporated herein by reference.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US2021/049470 | 9/8/2021 | WO |
| Number | Date | Country | |
|---|---|---|---|
| 63075516 | Sep 2020 | US |
