99 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 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 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 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 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.

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.

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 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.

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.

Embodiments of an implantable system and apparatus for providing electrical and optical deep brain stimulation are disclosed. Through the biological introduction of light-responsive opsins to neurons, the system is operable to transform neurons into optogenetically programmable state and history-dependent logical transformers. Embedded processors of the system are operable to stimulate individual neurons using phase-shifted electrical and / or optical signals through a neural interface comprising a plurality of carbon nanotubes, then electrically and / or optically measure the neurons. Due to the parallelism and chemical superposition of the human brain, the implantable system is operable to establish a quantum-like processing ability using its neural interface.

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.

The application provides a macro-micro combined electrode based on MEMS technology and a preparation method thereof. The macro-micro combined electrode based on MEMS technology comprises a deep brain stimulation (DBS) macro electrode, a non-metal support sleeve and at least one metal stimulation contact, the metal stimulation contact is arranged on the surface of the first end of the non-metal support sleeve, and the first end is an end penetrating into the deep brain; a flexible micro-nano electrode array based on MEMS technology, which comprises a plurality of detection units arranged in parallel, each detection unit comprises a detection site and a wire, the detection site is attached to the surface of the first end, each detection site is used for detecting an electric signal of the deep brain, each wire is connected to the corresponding detection site, and each wire extends away from the first end along the non-metal support sleeve in the form of being attached to the surface of the non-metal support sleeve or penetrating into the non-metal support sleeve.

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.

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.

A method for optimizing stimulation for a patient having a stimulator device, such as a deep brain stimulation (DBS) device, is disclosed that involves taking into account tissue imaging information in the environment around a lead. Test stimulation is provided at initial combinations of lead position and stimulation parameters, such as amplitude values, wherein the patient is scored for each combination. One or more objective criteria are measured and scored. The objective criteria may be electrode impedance and / or pressure indicators, such as cardiac signals. The process is iteratively repeated until a stop criterion is met. The lead position in question may be a longitudinal or rotational position about the lead, and if the lead is essentially oriented, preferably both.

A system for optimizing DBS parameters for a subject includes automatically performing actions via a processor. The actions include obtaining functional MRI data of a brain of the subject acquired utilizing an MRI system during DBS of the brain utilizing a first set of DBS parameters. The actions include generating functional MRI response maps from the functional MRI data. The actions include extracting, utilizing an unsupervised autoencoder-based neural network, features from the functional MRI response maps. The actions include determining, utilizing a deep learning-based DBS parameter classification model, whether the first set of DBS parameters are optimal DBS parameters for the subject based on the features. The actions include, when the first set of DBS parameters are not the optimal DBS parameters, predicting, utilizing a deep learning-based DBS parameter prediction model, a second set of DBS parameters that are the optimal DBS parameters for the subject based on the features.

The invention provides a subcortical nucleus automatic positioning method and system oriented to deep brain stimulation. The method comprises the steps that whole-brain fiber bundles are reconstructed from diffusion magnetic resonance imaging (dMRI) data; clustering the fiber bundles into bundle clusters, and constructing structure connection characteristics of voxels on the basis of the bundle clusters; a three-dimensional super voxel segmentation (3D-SLIC) algorithm is adopted to pre-segment the features and construct a structure connection map; a consensus atlas representation learning framework combined with low-rank tensor modeling is adopted to perform joint optimization on all tested atlases so as to enhance the consistency of results; and finally, clustering the optimized results to generate an individualized and group-averaged subcortical nucleus positioning map. According to the method, the fiber bundle cluster with clearer anatomical significance is taken as a basic unit, super voxel segmentation capable of retaining local anatomical integrity is combined, individual specificity and group consistency are effectively balanced through consensus learning, and robustness and reliability of a positioning result are remarkably improved.

The utility model discloses a kind of electromagnetic shielding's mouse brain deep electrical stimulation and collection device, including protective shell and shielding shell, protective shell bottom is equipped with opening, top is equipped with connecting port, opening is fixedly adhered with animal skull surface, electrode main body, adapter terminal wire and USB conversion interface connected in sequence are equipped in protective shell, electrode main body implants in animal brain through opening;Shielding shell is inserted with connecting port, shielding shell is inserted with connecting port in, USB interface and preamplifier are equipped in shielding shell, USB interface connects USB conversion interface, preamplifier is connected host computer by data line and passes out shielding shell.The utility model, the production and composition of electrode are modularized split, standardization production and surgical implantation process;Modularization installed USB conversion interface hardware cost is very small, improve the Omnetics interface utilization of host computer;USB conversion interface and electrode main body between using adapter terminal wire, namely soft line connection, can avoid the screw drop caused by multiple plug and unplug, prolongs the implantation time of electrode.

Provided herein are wire fixation instruments and methods of using wire fixation instruments to mount a stimulation wire to a skull. The lead fixation instrument may be used to mount a stimulation lead for deep brain stimulation. The wire fixation instrument may maintain the relative position of the stimulation wire while allowing the wire to axially float. The wire fixation instrument may include one or more flexure or bellows couplers to maintain the position of the stimulation wire while isolating forces acting on the wire.

The invention relates to the technical field of medical electronics and artificial intelligence crossing, in particular to an implantable closed-loop deep brain nerve stimulation system and method with edge intelligence. The system comprises a core master control and functional circuit module, a pulse generation module, a deep brain electrode, a physiological signal acquisition module, a wireless communication module and a power management module. The core of the method is that a lightweight long-short-term memory network model is locally integrated and operated in an implantable device, electroencephalogram signals collected in real time are subjected to preprocessing and pathological state recognition, and the pathological states comprise multiple symptoms and different degrees of the symptoms; and according to the identified specific state, a corresponding electrical stimulation strategy is adaptively matched and executed to form closed-loop regulation and control. Real-time, accurate and personalized analysis of electroencephalogram signals is realized through edge intelligence, the technical problems that a traditional deep brain stimulation system depends on in-vitro equipment, response is delayed, and multiple symptoms and multiple degrees cannot be finely recognized are solved, and the effectiveness and safety of treatment are remarkably improved.

The application provides an intervention method, device, electronic equipment and storage medium for deep brain stimulation, wherein the intervention method comprises: acquiring an electroencephalogram signal of a target user, determining an electroencephalogram feature set of the electroencephalogram signal, determining intervention-related information for the target user based on the electroencephalogram feature set, and performing intervention processing according to the intervention-related information. In this way, when the DBS intervention is performed, the intervention-related information suitable for the patient's disease condition can be automatically selected according to the electroencephalogram feature of the patient, so that the effect of precise intervention treatment is achieved.

In some variations provided herein, the system for deep brain stimulation includes an implantable device that acquires and stores recordings of neural activity signals and applies electrical stimulation. The system also 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 recordings of neural activity signals to the personal controller device via the first wireless connection. The system further includes a clinician programmer device that establishes a second wireless connection based on activation of the first wireless connection to receive recordings of neural activity signals from the implantable device. The clinician programmer device sets one or more stimulation parameters based on the neural activity signal recordings.