160 results about "Brain stimulation" patented technology

The invention relates to a three-dimensional spiral high-density neural electrode and a preparation method and application thereof. The three-dimensional spiral high-density neural electrode comprises a probe structure and a plurality of electrode sites. The probe structure is formed by curling a planar flexible electrode precursor, and at least one end of the probe structure is provided with a spiral outer surface of a three-dimensional spiral line structure. Electrode sites are distributed along a spiral path, have a size of 5-1000 [mu] m, and are used for contacting biological tissues. On the planar flexible electrode precursor, electrode sites are arranged on one or more straight lines forming an inclined angle alpha with the axial direction of the probe, and the spatial distribution is matched with the edge. Compared with the prior art, the method has the advantages that the constraint of a traditional wiring mode is broken through, the integration of high-density three-dimensional channels is realized under a micro size, and a new generation of solution is provided for a high-precision brain-computer interface, deep brain stimulation and a three-dimensional electroencephalogram.

Methods and apparatus for changing a brain state of a person from an initial brain state to a target brain state are described. The method includes receiving information characterizing the initial brain state, the information including a structural composition and a functional architecture of the brain, estimating based, at least in part, on the received information, a potential for the brain to change from the initial brain state to the target brain state, determining based, at least in part, on the received information and the estimated potential for the brain to change from the initial brain state to the target brain state, a non-invasive brain stimulation protocol, and controlling at least one non-invasive brain stimulation device to stimulate the brain according to the non-invasive brain stimulation protocol. The method also includes using brain information to inform the design of computational general artificial intelligence agents.

The invention provides a transcranial deep electrical stimulation closed-loop regulation and control system and method based on fNIRS dynamic guidance. The method comprises the steps that a transcranial alternating current electrical stimulation module applies an electrical signal to a target deep brain region according to preset parameters to carry out electrical stimulation regulation and control; the synchronous triggering module is used for realizing millisecond-level synchronization of a stimulation task and near-infrared brain function data acquisition; the brain function monitoring module analyzes the concentration change of cortex oxyhemoglobin in real time through the multi-channel head cap; the electrical stimulation-response coupling mapping module positions a significant activation channel by adopting statistical test, and establishes an oxyhemoglobin concentration variable and electrical stimulation current amplitude quantitative model; and the dynamic parameter adjusting module optimizes the output current in real time. Personalized closed-loop regulation and control of non-invasive deep brain stimulation can be achieved, cerebral cortex blood oxygen signals are monitored in real time through near-infrared brain function imaging, stimulation parameters are dynamically adjusted, and the accuracy and individualization level of deep brain stimulation are remarkably improved.

The invention discloses a method for predicting the curative effect of brain stimulation on MCI based on a multi-modal image, and belongs to the technical field of medical data process.The method comprises the steps that through a multi-modal MRI feature fusion model, structure and functional MRI indexes are synchronously integrated, feature selection and dimension reduction are conducted through comparison between independent sample t test groups and LASSO regression, and the curative effect of brain stimulation on MCI is predicted; compared with the existing method, the method has the advantages that the obvious contribution of the change of the collaborative structure image index and the functional image index to the predicted curative effect is verified through the structure-function coupling analysis, and the prediction model is constructed, so that the prediction efficiency is improved. The contribution direction and strength of each image feature to curative effect prediction are analyzed and quantified in combination with SHAP values, feature weights are automatically optimized according to SHAP value distribution, and model high-contribution feature brain regions are revealed through SHAP so as to clarify curative effect biomarkers.

A combined neuromodulation and / or neurostimulation system for mitigating locomotor deficits of / or neuronal disorders, especially Parkinson's disease, said system comprises: at least one Deep Brain Stimulation System for providing Deep Brain Stimulation to brain tissue of a subject, at least one control unit, configured and adapted to provide stimulation data, at least one stimulation unit, operatively connected to the at least one control unit, the at least one stimulation unit being configured and adapted to deliver epidural electrical stimulation to the dorsal side of the spinal cord of said subject, and at least one implantable pulse generator, wherein the at least one stimulation unit includes one or more electrodes configured to be implanted epidurally, the one or more electrodes being operatively connected to the at least one IPG.

A method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.

The invention relates to a non-invasive brain stimulation self-adaptive closed-loop regulation and control system. The system comprises a task interaction module which is configured to present a time sensing task to a target object and receive an interaction instruction of the target object; the non-invasive brain stimulation module is used for performing non-invasive brain stimulation; the sensing acquisition module is used for acquiring electroencephalogram data and behavioral data of a target object; the closed-loop regulation and control module comprises at least one block-level regulation and control primary unit, and each block-level regulation and control primary unit comprises a plurality of block-level regulation and control primary units; the trial secondary regulation and control primary unit is used for generating a first feature vector in real time on the basis of the currently collected electroencephalogram data and behavioral data so as to obtain a stimulation parameter of the next trial in the current block; the block-level regulation and control first-level unit is used for processing the currently collected electroencephalogram data and behavioral data to obtain a second feature vector, and based on the second feature vector, adaptive search is carried out under security constraints to obtain stimulation parameters of a next block. By adopting the method, the stability of the stimulation effect can be improved.

Methods and compositions are provided for treating an individual in need (e.g., one who has chronic pain). Such methods can include a step of administering a therapy that reduces CamKv activity in opioid receptor mu 1 (OPRM1) expressing neurons of the individual's rostral ventromedial medulla (RVM). In some cases, the therapy (e.g., deep brain stimulation of zona incerta neurons) increases inhibitory input into the individual's RVM. In some cases, the therapy is an agent (e.g., an RNAi agent) that reduces expression or activity of CamKv in the individual's RVM. In some cases, the agent includes a retrograde-enhanced recombinant AAV particle, e.g., one that can be used to deliver an RNAi agent such as an shRNA that targets CamKv. Also provide are retrograde-enhanced clade E variant AAV capsid proteins, AVV particles that include such capsid proteins, methods of making such AAV particles, and methods of expressing a transgene using such AAVs.

Disclosed herein are methods and devices for transvascular placement of electrodes on a surface of a brain or in deep brain structures for the purpose of neuromodulation. The device can comprise a delivery catheter comprising a lumen. The device can comprise a piercing assembly extending through the delivery catheter, wherein the piercing assembly comprises a piercing assembly catheter and a needle. The device can comprise one or more electrodes configured to contact the brain tissue; and wherein the piercing assembly catheter comprises an opening in a wall thereof such that when the delivery catheter and the piercing assembly catheter are positioned within a vessel, the needle extends through the opening to puncture a vessel wall.

The invention discloses a pig brain deep brain stimulation DBS electrode planning and reconstruction system and method, and belongs to the technical field of medical image processing and neurosurgery path planning. An automatic registration module based on a magnetic resonance (MR) image and a pig brain standard map is used for accurately identifying a target brain region; the in-target optimal electrode trajectory planning module based on principal component analysis (PCA) and the electric field simulation module based on a Hodgkin-Huxley model are used for optimizing the treatment effect and predicting the tissue activation volume (VTA); and a multi-modal hybrid registration module based on postoperative computed tomography (CT) and preoperative MR images, which is used for accurately reconstructing the actual position of the electrode. According to the invention, through combination of automatic and data-driven planning and accurate postoperative verification, the accuracy, reliability and efficiency of electrode implantation in pig brain DBS research are significantly improved.

The invention relates to a multistage self-anchoring flexible deep brain electrical stimulation electrode and a preparation method thereof, and relates to the technical field of medical instruments. A bionic root system-octopus whisker composite framework including a main electrode base, a second-stage fractal arm and a third-stage self-anchoring tail end is adopted, intelligent materials such as carbon nano tube / PDMS composite fibers, temperature-sensitive PNIPAAm hydrogel and a degradable PLGA-gelatin composite material are fused, and a mechanical lock catch and biological fusion dual-anchoring mechanism is constructed. The distributed electrode array comprises platinum-iridium alloy, graphene / PDMS and a titanium nitride nano electrode, and cross-scale stimulation from the nuclear group level to the single cell level is achieved. The intelligent regulation and control system solves the problems of brain tissue displacement and chronic inflammation through a pressure feedback degradation and flexible interconnection technology. Compared with a traditional product, the contact area of the electrode is increased by 5-8 times, the stimulation precision reaches the single cell level, and the electrode is suitable for long-term deep brain stimulation treatment of nerve diseases such as Parkinson's disease and epilepsy and has remarkable clinical application value.

The invention discloses a transcranial magnetic stimulation robot hybrid calibration method and device, equipment, a medium and a product, and relates to the field of transcranial magnetic stimulation, and the method comprises the steps: obtaining a first transformation matrix from a camera coordinate system to a robot base coordinate system, so as to achieve the global calibration of a camera and a robot base; acquiring a second transformation matrix from the coil marker coordinate system to the coil coordinate system to realize local calibration of the coil; on the basis of global calibration of the camera and the robot base, global preliminary positioning from a robot end effector to the head of the patient is completed; and based on the local calibration of the coil and the global preliminary positioning, completing local positioning of the brain stimulation target from the coil to the head of the patient, thereby improving the positioning precision of the brain stimulation target.

The present disclosure relates to a neurostimulation system, in particular for Cortical and / or Deep Brain Stimulation and / or Central Nervous System (CNS) neurostimulation / neuromodulation and / or Peripheral Nervous System (PNS) neurostimulation / neuromodulation and / or Vagus Nerve Stimulation, comprising:at least one implant unit comprising:at least one first antenna, andat least one lead having at least one electrode array with at least one electrode; andat least one wearable device comprising at least one second antenna,wherein the at least one wearable device is configured to wirelessly control and wirelessly communicate with the at least one implant unit, and wherein the at least one electrode is made of reduced graphene oxide, such as hydrothermally reduced graphene oxide.

The present application relates to a kind of brain stimulation target point fast positioning method based on facial recognition and AI neural navigation, by obtaining the MRI data of user's head, construct the three-dimensional digital brain model including brain function partition information;Acquisition facial three-dimensional point cloud, with the head surface model reconstructed by MRI registration, establish the space mapping of actual head and brain model;Based on this mapping, determine stimulation target point on model.In treatment, real-time tracking head pose using optical system, and in navigation interface fusion display brain model, target point and the real-time position and angle of magnetic stimulation coil.Determine the best target stimulation angle of coil according to the gyri and sulci orientation of target point, guide operator to adjust coil pose by comparing the difference between real-time angle and target angle.The present application realizes the fast, accurate, visual positioning and dynamic maintenance of target point in transcranial magnetic stimulation treatment, and upgrades the traditional experience-dependent operation to individualized, real-time feedback precision navigation treatment.

Embodiments of present disclosure provide systems and methods relating to neuromodulation. In particular, the present disclosure provides systems and methods for administering deep brain stimulation (DBS), and for evaluating the efficacy and efficiency of DBS for the treatment of neurological conditions (e.g., Parkinson's disease).

Disclosed herein is a brain stimulation method and system for a mammal. The system includes an electroencephalogram (EEG) headset (110) having a plurality of sensors for detecting electrical signals of a patient; and an EEG processing device (120) for determining a stimulation scheme based on the electrical signal. The EEG processing device (120) comprises: a brain state inferring module (124) for determining an inferred brain state of the patient; and a learning module (126) for learning a stimulation scheme based on the detected electrical signal and the inferred brain state. The system also includes a neural regulator (130) for delivering stimulation to the patient based on the stimulation regimen.

The present disclosure relates to a method for suggesting personalized and symptom-specific DBS stimulation parameters, comprising the steps of: creating a three-dimensional symptom network library comprising a data-driven three-dimensional model of symptom-specific nerve tracts in a stereotactic space established based on a detailed and comprehensive pathway profile; registering patient data with the three-dimensional symptom network library to analyze how an electrode of a single patient is mapped thereto; stimulation parameters are derived and suggested from baseline symptom severity characteristics for each patient. Another object of the invention relates to a system for predicting DBS parameters, the system comprising an interface for providing DBS parameters to an electrode and receiving signals from a patient, and a computer programmable unit comprising a data memory for storing a network library of three-dimensional symptoms, the three-dimensional symptom network library includes a stored data driven three-dimensional model of symptom-specific nerve tracts in a stereotactic space established based on detailed and comprehensive pathways for predicting DBS parameters.

The invention relates to a transcranial cell stimulation experiment model, which is characterized in that a support structure is used for supporting a skull model, the upper end of the support structure enters the skull model, a placement platform fixed on the support structure is arranged in the skull model, a cell culture dish is placed on the placement platform, two sides of the skull model are respectively provided with a stimulation coil which is obliquely distributed, and the stimulation coils are arranged on the skull model. The power supply unit is used for rapidly discharging to the two stimulation coils so as to induce generation of transient strong pulse current in the stimulation coils, and a 1T-4T strong magnetic field is formed around the stimulation coils. A transcranial cell stimulation experiment method comprises the following steps: firstly, pretreating SH-SY5Y cells, and then putting the pretreated SH-SY5Y cells into a cell culture dish; specific current waveforms are transmitted to the two stimulation coils, and the SH-SY5Y cells are stimulated through a generated electromagnetic field. The method has the beneficial effects that experimental simulation and experimental verification are realized, the understanding of a non-invasive brain stimulation technology is enriched, and a new scientific basis is provided for the treatment of related neurological and mental diseases.

A method includes receiving with a controller, neurophysiology activity data; receiving with the controller, biometric data for the patient; identifying with the controller, one or more weighted components of the neurophysiology activity data; assigning with the controller, based on the biometric data for the patient, a weight to each of the one or more weighted components; determining with the controller, based on a trained algorithm applied to the one or more weighted components, whether to apply the DBS; and instructing application with the controller, based on the determination, the DBS.

Systems and methods of the present disclosure are directed to neural stimulation via audio and visual stimulations. The combination and / or sequence of audio and visual brain stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stems from sleep deprivation. In doing so, the present systems and methods can reduce sleep fragmentation, improve sleep quality, and slow the progression of cognitive decline in a subject with Alzheimer's disease and MCI.

Techniques are disclosed for defining a homeostatic window for controlling delivery of electrical stimulation therapy to a patient. In one example, a method includes generating and delivering electrical stimulation therapy to tissue of a patient via electrodes. Further, the method includes adjusting a level of a parameter of the electrical stimulation therapy such that a signal of the patient is not less than a lower bound and not greater than an upper bound. The lower bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce one or more symptoms of a disease while the patient was receiving medication for reduction of the one or more symptoms. Further, the upper bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce the one or more symptoms when the patient was not receiving the medication.

The application relates to a non-invasive brain stimulation adaptive closed-loop regulation system, which comprises a task interaction module configured to present a time perception task to a target object and receive interactive instructions thereof; a non-invasive brain stimulation module for non-invasive brain stimulation; a sensing and collecting module for collecting electroencephalogram data and behavior data of the target object; and a closed-loop regulation module comprising at least one block-level regulation primary unit, each block-level regulation primary unit comprising a plurality of trial-level regulation primary units; the trial-level regulation primary unit is used for generating a first feature vector in real time based on the currently collected electroencephalogram data and behavior data, so as to obtain stimulation parameters of the next trial in the current block; and the block-level regulation primary unit is used for processing the currently collected electroencephalogram data and behavior data to obtain a second feature vector, performing adaptive search under safety constraints based on the second feature vector, and obtaining stimulation parameters of the next block. The method can improve the stability of the stimulation effect.

A method and apparatus are provided for determining stimulation parameters for DBS. The method includes receiving first data indicating a value of a local field potential (LFP) over a first time period from first contacts positioned adjacent a brain region. The method further includes receiving third data indicating a value of a LFP over second time periods from the first contacts, where the brain region is stimulated by second contacts over second time periods based on stimulation parameter values. The method further includes determining a frequency band encompassing a difference between a first frequency spectrum of the first data and a second frequency spectrum of the third data. The method further includes determining a value of the second frequency spectrum over the frequency band for each stimulation parameter value. The method further includes determining a value of an optimal stimulation parameter based on the value of the second frequency spectrum and each stimulation parameter value.

Techniques are disclosed for delivering electrical stimulation therapy to a patient. In one example, a medical system delivers electrical stimulation therapy to a tissue of the patient via electrodes. The medical system determines a first change of a first sensed signal of the patient to movement by the patient and a second change of a second sensed signal of the patient to the movement by the patient. Based on the first change and the second change, the medical system selects one of the first sensed signal and the second sensed signal of the patient for controlling the electrical stimulation therapy. The medical system adjusts a level of at least one parameter of the electrical stimulation therapy based on the selected one of the first sensed signal and the second sensed signal.

A multifunctional fiber probe capable of optical, electrical, and chemical interrogation of neuronal brain circuits in vivo is disclosed. The fiber probe may include an optical waveguide to enable optogenetic stimulation and / or fiber photometry, one or more electrodes for electrical recording and / or stimulation, and a microfluidic conduit to deliver at a drug, a gene, and / or a chemical to a mammalian subject. The fiber probe may be MRI compatible. The fiber probe may have a minimal footprint and enhanced bio-compatibility due to its flexible materials, resulting in reduced inflammation relative to conventional deep brain stimulation probes. The fiber probe may allow for multisite optical, electrical, and viral perturbations and electrophysiological and photometric recordings.

Disclosed is wearable device for monitoring brain activity and for providing non-invasive stimulation, wearable device comprising: headwear arrangement comprising: electrode arrangement comprising electrodes configured to make electrical contact with skin of user; and flexible cushioning member supporting electrodes; input / output (I / O) arrangement configured to: receive electrical signals (ES) from electrode(s); transmit ES to data processing arrangement (DPA) to process ES for generating brain stimuli (BS); and generate and apply BS generated using a brain stimulation protocol (BSP) to electrode(s), BS applied on skin lying partially in mastoid region; DPA comprising processing unit configured to: receive ES from I / O arrangement; analyse ES with predetermined reference data set, by extracting signal feature(s); apply processing algorithm(s), to map signal feature(s) to stimulation parameter(s); generate BSP comprising stimulation parameter(s); and transmit BSP to I / O arrangement; and power unit(s) supplying electrical power to I / O arrangement and DPA.

This brain stimulation guide device for positioning a brain stimulation device that stimulates the patient's brain with an electric field or magnetic field, comprises: a face mask mounted on the patient's face; band straps for fixing the face mask to the patient's face; and a procedure device holder which is fixed to the face mask and to which a brain stimulation device having a built-in magnetic coil for generating a magnetic field is mounted, wherein the face mask covers at least portions of the patient's nose, temples, and cheekbones. The brain stimulation guide device can place a brain stimulation device, which is a procedure tool, in an accurate position and thus improve the effect of a procedure.

Systems and methods for randomized coordinated reset deep brain stimulation in accordance with embodiments of the invention are illustrated. One embodiment includes a deep brain stimulation system and a neurostimulator coupled to a plurality of electrodes, where the neurostimulator is configured to deliver randomized coordinated reset stimulation to a brain via the plurality of electrodes, where the coordinated reset stimulation comprises a plurality of consecutive time windows, where within each consecutive time window, a pulse is delivered by each electrode in the plurality of electrodes at a respective amplitude at a respective time in the time window, and wherein at least one of: the respective amplitude of the pulse for a given electrode in the plurality of electrodes is randomly varied in each consecutive time window, and the respective time of the pulse for a given electrode in the plurality of electrodes is randomly varied in each consecutive time window.

This disclosure is directed to devices, systems, and techniques for delivering electrical stimulation. In some examples, a system includes processing circuitry configured to: receive information representative of a bioelectric brain signal recorded from a brain of a patient; and determine, based on the information, at least one pathological frequency of the bioelectric brain signal. Additionally, the processing circuitry is configured to select, based on the at least one pathological frequency, a sequence of pulse bursts at a pulse burst frequency, the sequence of pulse bursts at least partially defining electrical stimulation deliverable to an area of a brain of a patient, wherein adjacent pulse bursts within the sequence comprise different intra-burst pulse frequencies; and control a medical device to deliver the electrical stimulation comprising the sequence of pulse bursts to the area of the brain of the patient.