150 results about "Deep brain stimulation" patented technology

The invention discloses a brain deep nerve stimulation method and system based on adaptive adjustment, and relates to the technical field of brain deep nerve regulation, and the method comprises the steps: collecting a local field potential signal of a brain deep target region of a target patient, and extracting a beta frequency band power spectrum density and a gamma frequency band phase synchronization index as neural activity characteristic parameters; determining an individual baseline value and a preset threshold value based on historical data, and outputting a stimulation adjustment trigger signal when the beta frequency band power spectral density exceeds the individual baseline value and the gamma frequency band phase synchronization index is lower than the preset threshold value; in response to the trigger signal, calculating an optimal stimulation parameter combination through a gradient descent optimization algorithm and executing nerve regulation; and monitoring the signal change after regulation and control, calculating a relative change rate and updating a threshold value. Through a two-parameter joint judgment mechanism and a threshold updating strategy, individualized adaptive adjustment of stimulation parameters is realized, and the stimulation accuracy and the treatment effect are improved.

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.

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 relates to the technical field of medical equipment and instruments, and discloses a real-time artifact removal method and system for deep brain stimulation, and the method comprises the steps: controlling the generation and sampling of a stimulation signal through a same clock source, and guaranteeing the phase alignment of a sampling point and a stimulation artifact in each stimulation period; before real-time artifact removal, dynamically setting artifact template update parameters based on latest historical data; when real-time artifact removal is carried out, firstly, an artifact template is initialized according to signals collected in the early stage after stimulation is started, then artifact removal is carried out on each sampling point which is newly input later through a dynamic template subtraction method, and the artifact template is dynamically updated based on current sampling point data and set artifact template updating parameters; and at the end of each stimulation period, de-averaging processing is performed on the updated artifact template to eliminate low-frequency accumulative errors, and by means of the method, stimulation artifacts are removed in real time with the minimum calculation requirement at the extremely low sampling rate.

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.

The embodiment of the invention discloses a brain deep part electrical stimulation operation planning system and method based on a human brain network and a Lead-DBS technology, and the system and method are applied to operation planning of neuropsychiatric diseases. The data preprocessing module is used for denoising, correcting and standardizing the patient data to generate preprocessed data; the brain network model construction module is used for determining a functional connection matrix and a structural connection matrix based on the preprocessed data so as to construct an individualized brain network model; the electrode positioning module is used for generating an implantation target spot of a DBS electrode based on an individualized brain network model; the stimulation parameter optimization module optimizes stimulation parameters of the DBS based on the individualized brain network model and the electrophysiological data; the postoperative evaluation module compares the postoperative image with the preoperative plan to verify the actual implantation position and stimulation effect of the DBS electrode; the dynamic adjustment module is used for dynamically adjusting stimulation parameters.

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 discloses a brain deep stimulation parameter recommendation system and method and a storage medium. The method comprises the following steps: determining each recommended electrode combination corresponding to a target stimulation target in the brain of the target object according to the target brain image through the processor, and selecting the target stimulation target in the brain of the target object according to a recommended stimulation parameter set of each recommended electrode combination and a preset screening condition set for the recommended stimulation parameter set, target stimulation parameters for stimulating the target stimulation target are determined, and the preset screening conditions at least comprise a stimulation range screening condition and a side effect screening condition. According to the invention, through systematic analysis of the spatial and functional relationship between the nervous system and the electrode slice, an accurate stimulation treatment window range is provided for electrical stimulation treatment, so that the accuracy and efficiency of electrical stimulation treatment are improved.

The present invention discloses a closed-loop neural regulation system based on the medication and movement state of Parkinson's patients, including: a parameter setting module for determining the low beta frequency band, the high beta frequency band, the upper threshold and the lower threshold; a signal acquisition module for collecting and preprocessing the local field potential signal of the STN of Parkinson's patients; a feature calculation module for calculating the low beta frequency band energy and the high beta frequency band energy through short-time Fourier transform, and calculating the average value of the ratio of the two; a judgment output module for comparing the average value with the upper threshold and the lower threshold; if it is greater than the upper threshold, it is judged that the patient is in the drug failure-movement state and outputs high-intensity stimulation; if it is greater than the lower threshold and less than the upper threshold, it is judged that the patient is in the drug failure-resting state and outputs medium-intensity stimulation; if it is less than the lower threshold, it is judged that the patient is in the drug effective state and outputs low-intensity stimulation. The present invention can achieve precise closed-loop deep brain stimulation based on medication and movement state.

The present invention relates to the use of selective aquaporin inhibitors, e.g., of aquaporin-4 or aquaporin-2, e.g., certain phenylbenzamide compounds, for the prophylaxis, treatment and control of aquaporin-mediated conditions, e.g., diseases of water imbalance, for example edema (particularly edema of the brain and spinal cord, e.g., following trauma or ischemic stroke, as well as the edema associated with glioma, meningitis, acute mountain sickness, epileptic seizures, infections, metabolic disorders, hypoxia, water intoxication, hepatic failure, hepatic encephalopathy, diabetic ketoacidosis, abscess, eclampsia, Creutzfeldt-Jakob disease, and lupus cerebritis, as well as edema consequent to microgravity and / or radiation exposure, as well as edema consequent to invasive central nervous system procedures, e.g., neurosurgery, endovascular clot removal, spinal tap, aneurysm repair, or deep brain stimulation, as well as retinal edema), as well as hyponatremia and excess fluid retention, and diseases such as epilepsy, retinal ischemia and other diseases of the eye associated with abnormalities in intraocular pressure and / or tissue hydration, myocardial ischemia, myocardial ischemia / reperfusion injury, myocardial infarction, myocardial hypoxia, congestive heart failure, sepsis, and neuromyelitis optica, as well as migraines, as well as to novel assays for identifying aquaporin inhibitors.

The invention discloses a deep brain targeted stimulation method based on a time-frequency interference technology, and relates to the technical field of nerve regulation, and an application system comprises a plurality of pairs of stimulation electrode modules, a data acquisition module, a data preprocessing module, a time-frequency interference stimulation signal generation module, a central control module and a data storage module. According to the method, a multi-azimuth surrounding layout of multiple pairs of stimulation electrodes is combined with a time-frequency interference technology, so that a high-frequency electric field forms constructive interference in a deep brain target area, and meanwhile, a frequency difference is dynamically adjusted based on different organism state requirements; and a closed-loop control system of data acquisition, preprocessing, state evaluation, parameter adjustment and stimulation application is constructed. The problems that a traditional deep brain stimulation technology is low in targeting precision, poor in state guiding efficiency and insufficient in stimulation system stability are solved, the energy focusing degree is improved to 90% or above, the sleep induction time is shortened to 20-30 minutes, and the method can be widely applied to nerve disease treatment and physiological state improvement.

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.

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 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 polarity-adjustable non-invasive deep brain electrical stimulation system comprises a waveform generation module which generates a first frequency waveform by using a first signal generator and generates a second frequency waveform by using a second signal generator; the waveform rectification module is used for performing full-wave rectification on the first frequency waveform and the second frequency waveform by using a first rectification assembly and a second rectification assembly to obtain a first rectification waveform and a second rectification waveform; the first rectification waveform and the second rectification waveform pass through a first current stabilization assembly and a second current stabilization assembly to obtain a first stimulation waveform and a second stimulation waveform; and outputting the stimulation waveform to a stimulation target spot by using the stimulation electrode so as to generate a stimulation waveform with low frequency envelope in the deep brain part. According to the invention, the polarity-adjustable time interference waveform is obtained through the stimulation current rectification, so that the low-frequency envelope current with different polarities is utilized to selectively apply suitable electrical stimulation for different brain abnormal activity characteristics, and the pertinence and effectiveness of the electrical stimulation are improved.

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).

The invention relates to a control parameter determination method and device of deep brain stimulation equipment, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring multi-source physiological data of a target user by using an in-vitro multi-mode sensor array, and acquiring multi-channel local field potential sensing data of the target user by using deep brain stimulation equipment; determining fusion feature information of the target user based on the multi-source physiological data and the multi-channel local field potential sensing data, and determining state information of the target user based on the fusion feature information; and determining control parameters of the deep brain stimulation equipment according to the state information, wherein the control parameters are used for controlling the deep brain stimulation equipment to work. By adopting the method, the working efficiency of deep brain stimulation equipment can be improved.

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 stimulation electric field display method, an apparatus, an electronic device, and a storage medium. The method comprises: in response to a model display operation, determining a target object and a brain tissue image model corresponding to the target object, wherein the brain tissue image model comprises at least one electrode model for deep brain stimulation (S110); in response to an electrode configuration operation, determining electrode configuration information and stimulation parameter application information of each electrode model (S120); and in response to an electric field display operation, determining program-controlled electric field information of the at least one electrode model under the electrode configuration information and the stimulation parameter application information, and displaying the program-controlled electric field information on the displayed brain tissue image model (S130).

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, devices and methods are described for surgical guide instruments. For example, this disclosure describes surgical guide instruments for assisting in countersinking shelves for deep brain stimulation lead locking mechanisms.

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.

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.

The invention discloses a closed-loop deep brain stimulation regulation and control method, device and equipment and a medium, relates to the technical field of medical equipment and instruments, and is applied to a regulation and control system, and the regulation and control system comprises parameter acquisition host equipment, a target sensor and deep brain stimulation equipment; the method comprises the following steps: controlling deep brain stimulation equipment to send a current electrical stimulation signal to a stimulation target of a target object; using a target sensor to collect a current feedback signal after the target object receives the current electrical stimulation signal; wherein the current feedback signal is a kinematics and dynamics signal generated when the target object executes the Parkinson's action normal form, and the target sensor is located at a target detection part of the target object; and controlling parameter acquisition host equipment connected with the target sensor to send the current feedback signal to brain deep electrical stimulation equipment, so that the brain deep electrical stimulation equipment sends a next electrical stimulation signal to the stimulation target based on the current feedback signal. And more scientific deep brain electrical stimulation regulation and control can be realized.

The invention provides a wearable intelligent non-invasive closed-loop deep brain regulation and control system and method, equipment and a medium, and the system comprises an acquisition stimulation module and a high-precision acquisition stimulation controller. The high-precision acquisition stimulation controller comprises a personalized electrical conduction modeling and simulation optimization module, a double-stage intelligent regulation and control system, a self-adaptive closed-loop regulation and control module and a three-dimensional stacked hardware architecture design module. Through three technical innovations of multi-physics field simulation driving design, three-dimensional heterogeneous integration and intelligent closed-loop control, the problems of open-loop regulation unidirectivity, limited equipment microminiaturization, dependence on artificial experience and the like of a traditional deep brain stimulation system are solved, a portable and wearable 64-channel closed-loop deep brain regulation system in a natural state is realized, and space environment limitation is eliminated.

In some variations provided herein, a system for, e.g., deep brain stimulation, includes an implantable device that acquire and store neural activity signal records and apply electrical stimulation. The system further includes a personal controller device that establishes a first wireless connection to the implantable device. The personal controller device transmits power to the implantable device, and the implantable device transmits neural activity signal records to the personal controller device over the first wireless connection. The system further includes a user compute device configured to receive patient log data, receive the neural activity signal records from the implantable device by establishing a second wireless connection based on activation of the first wireless connection, associate the patient log data and the neural activity signal records, generate a plurality of stimulation parameters based on the association between the patient log data and the neural activity signal records, and transmit the plurality of stimulation parameters to the implantable controller device.