244 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.

A system for tuning the parameters of a therapeutic medical device comprises a movement measurement data acquisition system capable of wireless transmission; processing comprising kinematic feature extraction, a scoring algorithm trained using scores from expert clinicians, a therapeutic device parameter setting adjustment suggestion algorithm preferably trained using the parameter setting adjustment judgments of expert clinicians; and a display and / or means of updating the parameter settings of the treatment device. The invention facilitates the treatment of movement disorders including Parkinson's disease, essential tremor and the like by optimizing deep brain stimulation (DBS) parameter settings. The system provides recommendations for treatment which may be semi-automatically or automatically applied to update the parameter settings of a treatment device such as a DBS implant.

Described here are systems and methods for testing neurostimulation settings and measuring their effects on neural activity, which may then be used to select subject-specific neurostimulation settings. In general, the present disclosure provides systems and methods that utilize neural recordings to help determine the neurostimulation settings that maximally reduce a particular neural activity.

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.

The invention provides an enhanced non-invasive deep brain electrical stimulation system and method based on time interference. The system comprises an enhanced sawtooth wave stimulation waveform; a stimulation circuit supporting the enhanced sawtooth waveform; a finite element simulation subsystem to guide the stimulation pattern. Compared with the traditional time interference based on sine waves, the time interference based on sawtooth waves generates a steeper envelope, so that the stimulation intensity is enhanced. The sawtooth wave spectrum component is more complex and contains more high-frequency components, and a specific constant current source stimulator is needed to ensure that the high-frequency components output constant current without distortion. The system also includes a simulation subsystem that determines stimulation parameters using a corrected finite element method and a stimulation subsystem that stimulates in accordance with the parameters. Compared with traditional sine waves, the non-invasive deep brain electrical stimulation based on sawtooth wave time interference is provided, the stimulation intensity is improved, and a more effective method is provided for non-invasive regulation and control of the brain and intervention of diseases.

Devices, systems, software, and methods are provided for treating chronic pain in an individual using deep brain stimulation (DBS). An implantable brain stimulation and neural recording device is used to identify personalized pain biomarkers to automate brain stimulation using adaptive DBS algorithms in response to pain-associated brain states. Methods are also provided for identifying effective personalized brain stimulation sites for an individual through a systematic, multi-site brain mapping trial and tailoring real-time adaptive DBS programs to an individual to provide significant pain relief.

Devices, systems, software, and methods are provided for determining symptom severity of a subject having a movement disorder. The methods utilize video-based objective symptom quantification with classification of severity of symptoms using a machine learning algorithm. The subject methods can be used to diagnose and quantify motor symptom progression in patients with movement disorders such as Parkinson's disease, which is useful for assessing and optimizing therapeutic interventions, such as dopaminergic medications and deep brain stimulation (DBS).

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.

Verbal memory impairment is a common symptom of temporal lobe epilepsy (“TLE”). The ability to encode and recall verbal memories can be probed with the classic free recall task. This study had three overarching hypotheses: 1) increased seizure frequency will lead to decreased verbal memory, 2) stimulation will modulate memory performance, and 3) stimulation will modulate the underlying neural correlates of memory. The study investigated these hypotheses in patients receiving chronic DBS to bilateral ANT. Recordings were obtained from individuals with drug resistant mesial TLE implanted with an investigational MEDTRONIC SUMMIT RC+S™ sensing and stimulation device. As patient seizure diaries are notoriously inaccurate, the patient's continuous local field potential (“cLFP”) was scored for seizures using a validated seizure classifier with trained epileptologist review, resulting in a reliable seizure diary. The subjects completed free recall memory tasks in their home environment with cLFP and behavioral data streamed to a handheld device and cloud repository.Through implementation of generalized linear mixed models (GLMM), the study was able to determine that ANT stimulation modulates memory performance, but changes in the seizure rate were not predictive of changes in memory performance. Analyzing the continuous local field potential recordings from these tasks, the study found that spectral power in the theta frequency band in the left ANT and hippocampus correlated with acute memory performance and chronic therapeutic stimulation frequency received.Not all patients are candidates for devices with chronic sensing capabilities, and this study indicates that changes in verbal memory performance can provide a suitable metric of therapy effectiveness in lieu of a reliable, objective seizure diary. But for those who do receive these and similar devices, thalamic-hippocampal spectral activities can be used to track and predict memory performance acutely and chronically, as well as predict the effect of therapeutic deep brain stimulation. Our study demonstrates chronic improvement of verbal memory with a new biomarker-based technology for remote task administration and modulation of the associated neural activities.

Deep brain stimulation (DBS) can be used to treat many neurological conditions beyond traditional movement disorders. When patients do not suffer from traditional movement disorders, medical professionals cannot use traditional observation-based methods to configure the DBS system. A new method for selecting stimulation configurations can include recording internal data and external data as the patient performs (or attempts to perform) a motor task. The internal data is electrophysiology data recorded by a plurality of DBS electrodes, used to identify at least one of the plurality of electrodes closest to a neuronal population involved in control of the at least one motor task. The external data is electroencephalogram (EEG) data recorded by scalp electrodes, which is used to select at least one of the potential stimulation electrodes to deliver the DBS. When the electrode(s) delivering the DBS are selected, optimal parameters for the DBS are then chosen.

Methods and systems for analyzing and selecting therapy configurations for use in stimulating neural tissue. Probability shells relating to a likelihood that electrical stimulation issued to a given volume of neural tissue will cause a therapeutic outcome are integrated in a system for analyzing anatomical and other data, including lead position relative to neural anatomy. Metrics for analyzing therapy configurations can then be calculated, and the process of identifying likely beneficial therapy configurations is enhanced.

The invention relates to a directional deep brain stimulation closed-loop regulation and control system based on contact current multi-dimensional feedback, and the system comprises a multi-point directional stimulation and transcranial focused ultrasound coupling module, a DBS contact current multi-dimensional real-time feedback module, and a DBS regulation and control module based on contact current real-time feedback, the multi-point directional stimulation and transcranial focused ultrasound coupling module is used for applying multi-point directional electrical stimulation to the stimulation target region and synchronously scanning the stimulation target region by adopting transcranial focused ultrasound in a multi-point cross-layer manner so as to couple and generate an acoustoelectric signal of the DBS; the DBS contact current multi-dimensional real-time feedback module is used for recording DBS acoustoelectric signals and feeding back characteristic information, including time history change, frequency characteristics, amplitude response and spatial distribution, of a stimulation target area; and the DBS regulation and control module based on the real-time feedback of the contact current is used for calculating and analyzing the position, the intensity, the frequency and the time domain deviation numerical value of the DBS contact current, and correcting the DBS contact, the waveform and the pulse width stimulation parameters in a targeted and self-adaptive manner according to the numerical value.

Systems and methods for configuring neurostimulation systems to identify optimal therapies for use in a patient. Positional data for a lead implanted in the patient and anatomical data are obtained. Non-linear response structures are identified in the patient, and therapy metrics are generated using non-linear functions of the quantity of volume segments in the non-linear response structures that would be activated by a given therapy configuration including a combination of current fractionalization and current amplitude.

Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.

Systems and methods for adaptively controlling an electrical stimulation device, such as a closed-loop stimulation device, based in part on a Bayesian optimization of the operational parameters of the device are described. An adaptive dual control of the stimulation device can be provided. In a first control loop parameters are extracted from signals recorded from the subject by the stimulation device, and in a second control loop a Bayesian optimization is implemented with a hardware processor and memory to compute updated operational parameters for the stimulation device. As noted, the stimulation device is an electrical stimulation device, and may be a closed-loop stimulation device. Such devices can be used for deep brain stimulation (“DBS”), cardiac resynchronization therapy (“CRT”), and other electrophysiological stimulation applications.

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 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.

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.

Provided herein are lead and stylet systems and methods of using the sty let to implant the lead into the brain. The leads may be used for deep brain stimulation (DBS) and may be connected to a cranially mounted implantable pulse generator (IPG) of a DBS sy stem. The lead may comprise a lumen configured to removably house the stylet to assist in implanting electrodes disposed on the lead in the brain. The lead and stylet systems described herein may allow for minimal excess lead length between the implantation site of the lead in the brain and the IPG (e.g., implanted in the skull).

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.