224 results about "Brain stimulation" patented technology

The delivery of neurostimulation to a subject using a closed-loop neurostimulation device (e.g., using a brain stimulation device to provide neurostimulation to a subject's brain) is controlled based on a global optimization-based temporal prediction framework. As a result, the brain stimulation device (e.g., a transcranial magnetic stimulation (“TMS”) device) is synchronized with the ongoing neural state (e.g., brain state) in real time. For instance, a brain recording is analyzed to extract the brain process of interest (e.g., frequency of brain oscillations) and used train a prediction algorithm. After that, a stimulation stage is implemented, in which the individual brain state is analyzed in real-time, the occurrence of the biomarkers (e.g., brain oscillation phase) is predicted, and the stimulation is triggered at the expected time.

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.

The invention discloses a control device and computer equipment for a brain health therapeutic apparatus, and relates to the technical field of brain stimulation control, and the method comprises the steps: synchronously collecting an fMRI activity map, sMRI data and whole-brain voxel-level DTI data of a subject, extracting a cortex target region to be stimulated, and reconstructing and generating a triangular mesh model; non-linear registration is carried out on whole-brain voxel-level DTI data and the sMRI space, and a target region vertex direction field is generated; calculating a direction field average direction and a direction field covariance of the direction field at the vertex of the target region; if the covariance of the direction field does not exceed a preset covariance threshold value, controlling the brain health therapeutic apparatus to perform magnetic stimulation operation on the cortex target region according to the average direction of the direction field; and if the direction field covariance exceeds a covariance threshold, screening a first target region vertex sector and a second target region vertex sector, and controlling the brain health therapeutic apparatus to perform time division multiplexing vector scanning between sectors. Therefore, the accuracy of targeted stimulation and the individual suitability are greatly improved.

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 provides a deep brain stimulation method and system based on controllable current vectors of high-channel-number electrodes, and the method comprises the following steps: implanting two electrodes into a target region, and enabling a nucleus of the target region to be located between the two electrodes; by selecting different contacts on the stimulating electrodes, multiple channels of induced currents in different directions are generated in a plane constructed by the two electrodes; vector current is formed through vector superposition of the induction current of each channel, and the vector current acts on the target nuclei. The high-channel-number electrodes are adopted, programming control is carried out between the two electrodes, accurate control over current vectors is achieved, control over the magnitude and direction of target region nuclei stimulation current is accurately achieved through current vector superposition, therefore, a brain lesion area can be stimulated more accurately, meanwhile, the current vectors can be accurately controlled, and the stimulation effect of the brain lesion area is improved. And unnecessary current is prevented from diffusing to surrounding normal brain tissues, so that side effects caused by stimulation of a non-target area are reduced.

The invention relates to deep brain stimulation equipment capable of realizing an explosive stimulation mode, which comprises a deep brain stimulation unit and a deep brain stimulation electrode which are connected through an in-vivo lead. Wherein the deep brain stimulation unit is configured to enable a deep brain stimulation electrode to perform deep brain stimulation nerve regulation and control on a target spot in an explosive stimulation mode with adjustable stimulation parameters. Wherein one or more of group frequency, intra-group frequency and sine wave quantity in a single stimulation period can be adaptively adjusted by the deep brain stimulation unit according to different electrophysiological characteristics of a target point.

The invention discloses an integrated multi-mode transcranial electrical stimulation and high-intensity deep brain stimulation device, and belongs to the field of neuromedical treatment, in the device, a main control module is used for receiving data sent by a serial port display screen communication module and processing and analyzing the data, and then a signal source module is driven to output a target signal; the signal source module selectively outputs a transcranial alternating current stimulation waveform, a time intervention electrical stimulation waveform, a high-current phase modulation time intervention electrical stimulation waveform, a transcranial pulse electrical stimulation waveform and a transcranial direct current stimulation waveform based on a plurality of waveform generators and digital potentiometers; and the signal amplification and constant current output module is used for amplifying the waveform voltage signal output by the signal source module, converting the waveform voltage signal into a constant current signal and outputting the constant current signal to the output module. According to the invention, the electric field intensity generated by the stimulation current at the deep brain target spot is improved, so that the deep brain region is effectively stimulated, and a more remarkable stimulation intervention effect is achieved.

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 present disclosure relates to a neurostimulation system, in particular for Cortical and / or Deep Brain 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 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.

A therapeutic brain stimulation system comprises several stimulation signal emitters (I) generating stimulation signals from different positions towards a common target region in a patient's brain. A kit and a method are provided for mounting the system on a patient's head. The kit comprises a support structure (6) to be temporarily mounted on the patient's head as an aid for fixing the signal emitters (I) in the cranial bone structure. The support structure (6) has support legs (13a - 13c) for temporarily fixing the support structure (B) on the patient's head and guide holes (7) for aiding in guiding an orientation pin (0), a driver (3), a drill guide (B), a drill (D), a thread cutter (T) and the signal emitters (I) towards and against the patient's head.

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.

A method of determining brain stimulation parameters includes applying Low Frequency Stimulation (LFS) to a contact of a multi-contact electrode implanted in a target structure in an individual's brain. Evoked Compound Activity (ECA) evoked in the target structure by the LFS is measured. A range of frequencies for delivering brain stimulation within a predetermined range based on a phase space extracted from the ECA is determined. Stimulation frequencies are applied to the contact of the multi-contact electrode within the determined range of frequencies. High Frequency Oscillations (HFO) evoked in the target structure by the applied stimulation frequencies within the determined range are measured. A frequency evoking HFO above a predetermined threshold is determined. The determined frequency is selected as a treatment frequency for the target structure.

A method and device for stimulating cerebrospinal fluid flow is disclosed. The method may include acquiring an electroencephalography (EEG) signal from a human subject, predicting a target feature of the EEG based on the EEG signal, and playing an auditory stimulus to coincide with the target feature of the EEG learned by a neural network. The target feature may include a peak of a slow wave. The method may include using a recurrent neural network to predict the target feature for a human subject.

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.