57 results about "Cerebral cortex part" patented technology

The invention discloses a cerebral cortex stimulation central nervous regulation system and method based on a pulse magnetic coil, and the system comprises a pulse magnetic stimulation module, a neural signal collection module, a central control module and a man-machine interaction module, and is additionally provided with a three-dimensional positioning module and a multi-level safety monitoring module. The pulse magnetic stimulation module generates a focused pulse magnetic field, the neural signal acquisition module acquires multi-brain-region electric signals, and the central control module dynamically regulates stimulation parameters after analyzing the signals to form closed-loop regulation; the three-dimensional positioning module ensures accurate positioning of the coil, the safety monitoring module monitors parameters in real time and triggers emergency protection, and the man-machine interaction module realizes convenient operation and data management. According to the method, adjustment is completed through initialization, signal acquisition and analysis, precise stimulation, positioning adjustment and safety monitoring. The scheme is non-invasive, accurate, safe and suitable for nerve research and disease treatment, the regulation effect and use safety are improved, and development of the nerve regulation technology is promoted.

The application discloses a new use of Leonurine or a pharmaceutically acceptable salt thereof in the preparation of a medicament for treating radiation-induced brain injury, specifically, providing a safe and effective therapeutic drug for iron death, neuroinflammation, neuron damage and lipid metabolism disorder accompanying the radiation-induced brain injury, solving the technical problem of lack of specific treatment means in the prior art, and having a wide clinical application prospect. Experiments adopt a C57BL / c mouse 30 Gy whole brain X-ray radiation model, and results show that Leonurine can significantly improve the body weight decrease and survival rate of the model mice, reduce the serum IL-6 and IFN-alpha levels, inhibit the activation of microglial cells in the cerebral cortex and hippocampus, protect and repair damaged neurons, and improve the ultrastructure of mitochondria and synapses; meanwhile, the expression of GPX4 and SLC7A11 proteins in the brain tissue is up-regulated, the GSH content is increased to inhibit iron death, and the levels of GPE, GPS and GPC related to lipid metabolism are restored.

The invention relates to a brain-computer interface system which comprises a flexible electrode array, a receiving device, a flexible connecting wire and external equipment, wherein the flexible electrode array is implanted into a meninx middle artery in a minimally invasive manner through a superficial temporal artery puncture and a vascular intervention procedure; the receiving device is embedded under the skin of a head and is provided with a signal transmitter; the external equipment is provided with a signal receiver. A flexible electrode array is implanted in an anterior branch or posterior branch of a main branch of a middle meninx artery through a superficial temporal artery intravascular minimally invasive technology, the number of electrodes and the array are arranged according to needs, and a receiving device buried in the subcutaneous part of the head is electrically connected with the flexible electrode array implanted in the middle meninx artery. Craniotomy is not needed, operative complications are avoided, minimally invasive implantation reaches the surface of the cerebral cortex, operation of a doctor is easier, the operation time is shortened, and the comfort level of a patient is improved.

1. Name of the product in this design: Flash Stimulator. 2. Purpose of this design: To serve as an auxiliary diagnostic device in the field of neurology that induces abnormal electrical discharges in the cerebral cortex through light-sensing input from the visual system. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The application discloses a kind of implanted nerve electrode devices of magnetic control telescopic contact and separation cerebral cortex, belong to brain signal research technical field.It includes: flexible substrate, magnetostrictive deformation substrate, magnetostrictive film, elastic component and electrode;The flexible substrate side is provided with several rectangular grooves arranged in order;Two pieces of the magnetostrictive film are pasted to the two sides of the magnetostrictive deformation substrate, and the magnetostrictive film on one side is used to fix the magnetostrictive deformation substrate in the rectangular groove of the flexible substrate;The electrode is fixed on the magnetostrictive deformation substrate, for collecting electroencephalogram;The elastic component is used to pull the deformed magnetostrictive deformation substrate to restore flat state.The device is fixed under dura mater, and can be bent under the drive of magnetic field, realizes the effective contact of nerve electrode and cerebral cortex, compared with traditional semi-invasive nerve electrode, improves the detection quality and stability of electroencephalogram.

The application belongs to the technical field of neural network simulation and analog, and particularly relates to a large-scale cortex pulse neural network asynchronous parallel simulation algorithm based on GPU. The application utilizes the advantages of multi-thread and texture memory of a computing graphics card, combines the general form of a biological brain receiving external stimulation and the general connection mode between neurons in the cortex, designs an asynchronous parallel algorithm framework of GPU and CPU, GPU is responsible for parallel evolution of neuron dynamics equations and block parallel calculation of isotropic connection in a local network, CPU is responsible for processing anisotropic long-range connection, and different neuron dynamics equations and plasticity learning rules can be compatible. Compared with the prior art, the application can effectively improve simulation speed, provides a tool for simulating a biological brain cortex in a single computing node, and is suitable for a single node multi-graphics card and a multi-node multi-graphics card distributed operation model.

The invention relates to a reversible adhesive flexible electrode material based on zinc ion activation, which is characterized in that polydimethylsiloxane is used as a main chain, and functionalization capable of responding to metal ions is realized through sulfydryl-alkene click reaction and subsequent imidazolation modification. The invention also provides a preparation method and application of the electrode material. The elastomer material disclosed by the invention has remarkably enhanced adhesive force, and can be stably attached to the surfaces of soft tissues such as cerebral cortex and spinal cord; under the action of Zn or after a competitive ligand is introduced, the adhesive force is reduced, and mild stripping is realized. The material is simple in preparation process and excellent in biocompatibility, can be used for constructing a large-area flexible electrode, is suitable for acute and chronic nerve electrophysiological signal acquisition, and is particularly suitable for epilepsy lesion positioning and brain function research.

The utility model relates to the technical field of fixing devices, in particular to an integrated fixing device for manufacturing rodent pathological sections, which comprises a fixing device shell and a fixing device cover plate which are rotatably connected. The fixing device comprises a fixing device shell, a plurality of brain cutting clamping grooves are formed in the periphery of the fixing device shell, brain clamping grooves are formed in the bottom of the fixing device shell, the brain clamping grooves comprise a cerebellum fixing groove, a brain fixing groove and an olfactory bulb fixing groove, and the cerebellum fixing groove, the brain fixing groove and the olfactory bulb fixing groove are integrated. The closed fixing groove can be adopted, formalin volatilization is reduced, the brain tissue fixing function and the material taking function are integrated, and the operation process is simplified.

The invention relates to the technical field of neural electrodes, in particular to a magnetic drive gel type ECOG electrode based on a skull patch and a preparation and packaging method thereof, and the electrode comprises a skull patch unit, a flexible sensing circuit and a gel type sensing unit; a magnetic nano material is coupled in the gel type sensing unit, and the gel type sensing unit is driven by an external magnet to move to a target area on the surface of the cerebral cortex for signal acquisition; the flexible sensing circuit comprises an insulating layer and a sensing layer which are coaxially coupled; the two ends of the flexible sensing circuit are embedded into the skull patch unit and the gel type sensing unit respectively, and bonding sites and recording sites are exposed on the surfaces of the skull patch unit and the gel type sensing unit respectively. The manufacturing problems that a traditional preparation technology is incompatible with a gel material with high water content and the preparation and packaging process is complex are solved, and the problems that when an ECOG electrode is used for large-range multi-brain-region monitoring, the surgical wound surface is large, inflammatory response is likely to be induced, and the postoperative rehabilitation effect is poor are solved.

A brain-controlled unmanned aerial vehicle method and system based on SSVEP, the brain-controlled unmanned aerial vehicle method comprising: dividing a visual stimulator into a plurality of independent areas, each independent area corresponding to each action direction of an unmanned aerial vehicle, each independent area flickering and stimulating square blocks at different frequencies; sequentially observing the stimulation square blocks of each independent area to enable the brain occipital area to generate a plurality of different electroencephalogram signals; collecting a plurality of different electroencephalogram signals and converting the electroencephalogram signals into digital signals; the digital signals are extracted and classified, and control instructions of all action directions of the unmanned aerial vehicle are generated; and observing the stimulation blocks corresponding to the independent areas according to the control instruction, and controlling the unmanned aerial vehicle to move according to the control instruction. According to the design, a plurality of different electroencephalogram signals are generated by the cerebral cortex by observing the stimulation square blocks with different frequencies, the electroencephalogram signals are converted into the control instructions of the unmanned aerial vehicle, the unmanned aerial vehicle can be controlled to move in the specified direction only by observing the corresponding stimulation square blocks, and the control precision is high.

The invention provides a semi-intrusive brain-computer interface device, which belongs to the technical field of brain-computer interfaces, and comprises an electroencephalogram signal acquisition unit, a signal processing unit, a decoding unit, a control interface unit and an external equipment unit which are electrically connected in sequence, the electroencephalogram signal acquisition unit adopts a flexible electrode structure, is configured to be implanted into a cranial cavity, does not penetrate through the cerebral cortex and is used for acquiring a cortex electroencephalogram signal; the signal processing unit is used for filtering, amplifying and digitally processing the electroencephalogram signals; the decoding unit is used for classifying and identifying the electroencephalogram signals; and the control interface unit supports a multi-mode interface. According to the invention, a semi-intrusive design is adopted, the invasiveness and safety are balanced, the full-intrusive rejection risk is also avoided, compared with a non-intrusive design, the signal analysis precision is improved, neural features of different patients are adapted in a personalized manner, fine regulation and control of an object track and force in a complex three-dimensional environment are realized, and the control limitation of a traditional system is solved.

The invention relates to a Parkinson's disease auxiliary diagnosis device and a computer readable storage medium, belongs to the technical field of medical devices, and solves the problems that noise interference and information loss exist in existing sMRI and fMRI data, and jump connection in an encoder-decoder is relatively fixed. The device comprises a data acquisition module for acquiring a multi-modal nerve image and a gait video data set; the brain data processing module reconstructs a cerebral cortex grid surface by using an sMRI diffusion model and reconstructs blood oxygen level mapping by using an fMRI diffusion model, and brain data features are extracted after registration; the gait data processing module acquires a gait video data set, performs perception enhancement processing and extracts a three-dimensional skeleton sequence to extract gait data features; and the feature fusion and classification module performs deep interaction and complementary enhancement on the fused brain and gait data features through an axial, cross and channel composite attention mechanism, and then classifies the enhanced fusion features. And the capability of identifying the complex characteristics of the Parkinson's disease is effectively improved.

1. The name of the design product: insomnia treatment instrument of transcranial magnetic. 2. The use of the design product: for stimulating the cerebral cortex by magnetic field, adjusting the brain nerve activity. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective drawing.

The present application belongs to the field of brain science and visualization technology, and specifically relates to a human brain digital twin 3D visualization method. The method comprises the following steps: S1: constructing a cerebral cortex outer surface model and an independent brain region model; S2: registering a voxelized brain atlas to a standard brain template space to obtain a correspondence relationship between the vertexes of the cerebral cortex outer surface model and the brain atlas region labels as a projection rule; S3: according to the projection rule, displaying BOLD signals and EEG backtracking signals to the cerebral cortex outer surface model; S4: constructing connection pathways between each brain region in the independent brain region model, and performing deterministic fiber bundle tracking, cleaning and integration on individual diffusion weighted imaging data to obtain biologically authentic and representative fiber bundles between any two brain regions as the connection pathways; and S5: integrating the connection pathways into the independent brain region model to visualize brain network and brain region function effects. The present application realizes dynamic and interactive visualization of multi-modal brain data in three-dimensional space.

The invention relates to the field of biomedicine, in particular to a mouse oligodendroglia precursor cell culture method which mainly comprises the following steps: taking cerebral cortex tissues of a 3-day-old mouse, cutting the cerebral cortex tissues into pieces, digesting the cerebral cortex tissues to obtain mixed glial cells, and inoculating and culturing the mixed glial cells; and after culturing for 10 days, carrying out mechanical oscillation on a shaking table (the rotating speed is 250rpm, and the time is 6 hours), and separating to obtain the oligodendrocyte precursor cells with high purity and high activity. The method is easy and convenient to operate and high in repeatability, a large number of mouse oligodendroglia precursor cells can be obtained only through a conventional, simple and cheap culture medium, and the cells have the continuous multiplication capacity, can be continuously passaged and have the capacity of being differentiated into mature oligodendroglia cells; the method can be widely applied to in-vitro research of special physiological functions and related biological mechanisms of the mouse oligodendrocyte precursor cells.

The application relates to the technical field of brain-computer interface, and relates to an armless disabled person assisting device. In order to solve the technical problems that the existing wearable assisting device for providing life assistance for upper limb disabled persons is invasive and semi-invasive, needs to be operated, electrodes are implanted into the cerebral cortex, the operation risk is large, complications such as infection and bleeding may be caused, long-term maintenance is needed after implantation, the non-invasive brain interface has small risk, is convenient to use, simple to operate, low in cost, but has low control precision, and the technical scheme provided by the application is as follows: the armless disabled person assisting system comprises a brain signal acquisition module, a visual control module and a main control module. The brain signal acquisition module is used for acquiring the brain electrical signal of a user in a non-invasive manner. The visual control module is used for acquiring target object positioning information. The main control module is used for generating a grasping action group signal according to the signals acquired by the brain signal acquisition module and the visual control module. The application is suitable for application in the work of assisting grasping of armless disabled persons.

The invention relates to the technical field of biomedical signal processing and neural image analysis, in particular to an epileptic seizure prediction method combining electroencephalogram and image data, which comprises the following steps: acquiring diffusion tensor imaging data of a target object, calculating the diffusion tensor of whole brain voxels, and calculating the image data of the target object; an anisotropic transmission resistance tensor field representing the conduction performance of the white matter fiber bundle of the brain is constructed based on inverse transformation of the diffusion tensor; and based on the anisotropic transmission resistance tensor field, calculating an anisotropic geodesic distance between any two points in the cerebral cortex space, and constructing a Riemannian manifold geometric substrate containing anatomical conduction constraint. According to the method, by constructing the anisotropic transmission resistance field and the Riemannian manifold substrate, the minimum biophysical cost constrained by anatomy is calculated, so that the problems that correlation analysis lacking physical constraint is mostly adopted in the traditional technology, and due to the neglect of the white matter fiber conduction rule, the analysis accuracy is low are solved; therefore, the false alarm problem caused by false synchronization caused by the fact that the volume conductor effect cannot be eliminated is solved.

The application discloses a body line correction and nerve remodeling method and system based on electroencephalogram closed-loop feedback, which comprises the following steps: collecting three-dimensional space posture data of a human body in a static or dynamic state, and calculating a force line offset between a current body line and an ideal force line model, so as to adjust the current force line to a target force line state corresponding to the ideal force line model; collecting a brain cortex electric activity signal of a user, obtaining electroencephalogram data, performing feature extraction, obtaining a quantitative index representing a neural coding intensity of the user to the current force line state, mapping the quantitative index into a multi-modal feedback signal, and adjusting a mechanical guiding strategy of a flexible actuator array until the user's brain establishes a stable neural representation of the target force line. According to the technical scheme, multi-modal feedback is used to enhance the somatosensory cognition of the user, the actuator strategy is dynamically adjusted, the brain forms a stable neural representation of the correct force line, and the user can still independently maintain a good body state after leaving the device.

Provided herein are novel methods for delivering recombinant adeno-associated viral (rAAV) particles to the central nervous system of a mammal (e.g., a human). In aspects, the methods involve administering rAAV particles containing a heterologous nucleic acid to the striatum and causing expression of the heterologous nucleic acid in at least the cerebral cortex and the striatum of the mammal.

The invention discloses an intelligent evidence-based acupuncture diagnosis and treatment instrument for treating migraine, and belongs to the technical field of acupuncture medical equipment. The device comprises a migraine diagnosis and treatment head cover, an acupuncture point detection module, an acupuncture point positioning module, an acupuncture treatment module, a central control module and an evidence-based decision module, a plurality of acupuncture point probe assemblies which can be independently controlled are distributed on the head sleeve; the acupoint detection module measures biological impedance through a four-electrode method and automatically recognizes acupoint coordinates in combination with a three-dimensional positioning algorithm; the acupoint positioning module drives a miniature linear actuator to realize automatic and accurate positioning of the probe; the acupuncture treatment module outputs adjustable electrical stimulation based on a balance acupuncture principle, activates cerebral cortex neurons and adjusts the function of a central nervous system; the evidence-based decision-making module intelligently generates and dynamically optimizes stimulation intensity parameters of each acupuncture point probe to realize personalized evidence-based treatment; the problems that traditional acupuncture depends on experience, is inaccurate in positioning and cannot be standardized are solved, and the method has the advantages of being accurate in positioning, highly personalized, safe and reliable.

The application belongs to the technical field of medicine, and particularly relates to pericyte-derived mitochondria-rich extracellular vesicles and application thereof in ischemic brain injury. The extraction method of the extracellular vesicles comprises the following steps: (1) cutting a cerebral cortex part, adding collagenase type II and DNase I for digestion, and then adding a gradient separation liquid to separate pericytes; (2) spreading the pericytes on a culture dish coated with collagen type IV and culturing in a pericyte culture medium; (3) when the cell confluence degree reaches 80% to 90%, the cell culture medium is replaced with a fresh culture medium without exosomes FBS, the cells are subjected to OGD treatment and then reoxygenated for 24 hours, the culture supernatant is collected, and the culture supernatant is centrifuged to obtain the extracellular vesicles. The PC-EVs obtained after OGD stress are found to be capable of protecting the brain from ischemic stroke for the first time, and have important reference significance for researching and treating drugs related to ischemic brain injury.

The invention relates to an athletic skill recovery interface device (1) comprising: one or more cortical sensors (3; 31, 32,..., 3n), each cortical sensor being capable of detecting a respective cortical signal (SE1, SE2,..., SEn) from a respective portion of the cerebral cortex (C) of the patient (P); a decoding unit (2) associated with the one or more cortical sensors (3; 31, 32,..., 3n) arranged to be operatively connected to the one or more cortical sensors (3; -each of said cortical signals (SE1, SE2,..., SEn) transmitted by each of said cortical signals (SE1, SE2,..., SEn) transmitted by each of said cortical signals (SE1, SE2,..., SEn); one or more muscle electrical stimulators (4) each adapted to a muscle (M) to be stimulated; wherein the decoding unit (2) is configured to process, based on cortical signals received by the one or more cortical sensors (31, 32,..., 3n), the one or more muscle electrical stimulators (4; 41, 42,..., 4n), and one or more actuation signals (SM1, SM2,..., SMn) of the one or more signals (SM1, SM2,..., SMn) of the one or more signals (SM1, SM2,..., SMn). The invention also relates to a method for operating the interface device (1).

The invention provides a work load assessment method, device, equipment and medium, and the method comprises the steps: collecting the multi-modal physiological data of a work user in the task execution process of the work user, the multi-modal physiological data including electrocardiogram data, human body temperature and the oxyhemoglobin concentration of cerebral cortex; extracting physiological signal features in each mode from the multi-mode physiological data; and inputting the physiological signal features in each mode into a pre-trained work load classification model to obtain a classification result output by the work load classification model, the classification result being used for indicating the work load level of the work user. In this way, by collecting the multi-modal physiological data of the operation user, the comprehensiveness and accuracy of operation load evaluation are improved, the operation load level of the operation user is obtained through the operation load classification model, targeted analysis of the operation user is achieved, the accuracy of operation load evaluation is improved, and the user experience is improved. Therefore, operation distribution can be guided more scientifically and effectively.

The invention belongs to the technical field of brain science and visualization, and particularly relates to a human brain digital twin 3D visualization method. Comprising the following steps: S1, constructing a cerebral cortex outer surface model and an independent brain region model; s2, registering the voxelized brain atlas to a standard brain template space, and obtaining a corresponding relation between the vertex of the cerebral cortex outer surface model and a brain atlas brain region label as a projection rule; s3, displaying the BOLD signal and the EEG traceability signal on the cerebral cortex outer surface model according to a projection rule; s4, constructing a connection path of each brain region in the independent brain region model, performing deterministic fiber bundle tracking on the individual diffusion weighted imaging data, and cleaning and integrating fiber bundles with biological authenticity and representativeness in any two brain regions as the connection path; and S5, integrating the connection path into the independent brain region model for visualizing the brain network and the brain region function effect. According to the method, the dynamic and interactive visualization of the multi-modal brain data in the three-dimensional space is realized.

A shim attachable to an ICI for delivering electrical signals to the cortex and / or sensing cortical electrical signals. The shim includes one or more hollow passages passing therethrough or passages filed with an electrically conducting material for allowing electrical currents to pass through the passages. Effective thickness of the shim is adapted for a specific patient and a specific implantation site based on data obtained from anatomical or functional imaging method such as CT and MRI. Forms and dimensions of the passages may be configured for controlling the current density distribution under the shim by obtaining anatomical and physiological data for the specific patient using functional imaging methods such as, for example, fMRI. The shim may be used in for controlling current density distribution only in combination with another shim that controls the total thickness. Assemblies including a single part ICI or a two-part ICI and the shim are described.

The application discloses a cognitive disorder screening method and device based on an XR eye tracker and near-infrared brain imaging, and the device comprises an extended reality scene generation module, an eye tracker data acquisition module, a near-infrared brain imaging module, a data analysis processing module and a cognitive disorder screening module. The extended reality scene generation module is used for generating and displaying a virtual reality scene and an augmented reality scene containing a cognitive task. The eye tracker data acquisition module is used for collecting eye movement data information sets of a user in real time when the user completes the cognitive task in the virtual reality scene and the augmented reality scene. The near-infrared brain imaging module is used for collecting blood oxygen information sets of the cerebral cortex of the user in real time when the user completes the cognitive task in the virtual reality scene and the augmented reality scene. The cognitive disorder screening module is used for performing cognitive disorder screening processing on evaluation process information, the eye movement data information sets and the blood oxygen information sets of the cerebral cortex, and obtaining cognitive disorder information of the user.

This invention provides a high-precision neurostimulation device and its control method. The device includes: stimulation modules connected to stimulation electrodes for applying electrical stimulation signals to the cerebral cortex; an interaction module for receiving user commands to enable user interaction; a main control module for receiving commands from the interaction module and driving the stimulation modules to output electrical stimulation signals; and a stimulation module for outputting high-precision electrical stimulation signals to each stimulation electrode, and through a preset channel control module, combining the stimulation electrodes in three configurations—cathode, anode, and electrode suspension—to form an M×N high-precision electrical stimulation. Based on traditional transcranial electrical stimulation technology, this invention improves the stimulation circuitry, making the channel states flexibly adjustable, achieving flexible and high-precision electrical stimulation with more pronounced stimulation effects and more precise stimulation sites. The high-precision electrodes can be combined in various ways, possessing strong scalability and meeting the needs of complex application scenarios.

The application discloses a wireless flexible cortex brain-computer interface device based on ultrasonic energy supply and a signal acquisition method thereof. The device comprises an extracorporeal ultrasonic transceiving unit and a passive flexible intracorporeal implant unit. The intracorporeal implant unit comprises a flexible substrate, a recording electrode unit arranged on the side of the flexible substrate facing the cerebral cortex, and a piezoelectric transducing unit and a load modulation unit arranged on the back side or lateral area of the flexible substrate. The piezoelectric transducing unit receives extracorporeal ultrasonic waves and converts them into electric energy. The load modulation unit adjusts the port load impedance of the piezoelectric transducing unit in a continuous analog mode according to the cortical electrophysiological signals collected by the recording electrode unit, thereby modulating ultrasonic backscattering echoes. The extracorporeal ultrasonic transceiving unit receives and demodulates the backscattering echoes to reconstruct the cortical electroencephalogram signals. The application can realize wireless acquisition of the cortical electroencephalogram signals without the need of intracorporeal batteries and transcutaneous leads, and improve long-term implant stability in a flexible cortex attachment state.