94 results about "Cerebral cortex part" patented technology

The invention belongs to the field of electroencephalogram signal processing, and provides a time-frequency space electroencephalogram emotion recognition method based on three-dimensional space position embedding, which comprises the following steps of: firstly, constructing a three-dimensional electrode space position matrix based on an international 10-20 system standard, determining a space adjacency relation between electrodes, and calculating a phase locking value to obtain a functional connection matrix; then, deep feature fusion of an electrode spatial position matrix and a functional connection matrix is realized by adopting a hierarchical cross Transform architecture, the spatial position matrix represents spatial distribution features of a cerebral cortex region, and the functional connection matrix quantifies phase synchronization features of cross-brain region neural oscillation and simulates a brain spatial topological structure; and finally, extracting time, frequency and spatial features of the electroencephalogram signals through combination of a graph attention network and bidirectional long-short-term memory with an attention mechanism for emotion recognition. The method can effectively extract space structure information highly related to the emotional state, and significantly improves the accuracy of emotion recognition.

The invention provides a transcranial deep electrical stimulation closed-loop regulation and control system and method based on fNIRS dynamic guidance. The method comprises the steps that a transcranial alternating current electrical stimulation module applies an electrical signal to a target deep brain region according to preset parameters to carry out electrical stimulation regulation and control; the synchronous triggering module is used for realizing millisecond-level synchronization of a stimulation task and near-infrared brain function data acquisition; the brain function monitoring module analyzes the concentration change of cortex oxyhemoglobin in real time through the multi-channel head cap; the electrical stimulation-response coupling mapping module positions a significant activation channel by adopting statistical test, and establishes an oxyhemoglobin concentration variable and electrical stimulation current amplitude quantitative model; and the dynamic parameter adjusting module optimizes the output current in real time. Personalized closed-loop regulation and control of non-invasive deep brain stimulation can be achieved, cerebral cortex blood oxygen signals are monitored in real time through near-infrared brain function imaging, stimulation parameters are dynamically adjusted, and the accuracy and individualization level of deep brain stimulation are remarkably improved.

The invention discloses a brain region correlation analysis system and method for autistic children. The system comprises a brain region division module used for dividing the cerebral cortex into a plurality of brain regions; the training data set construction module is used for constructing a training data set, and each training sample comprises a sensor space function connection matrix and a source space function connection matrix corresponding to the sensor space function connection matrix; the signal preprocessing module is used for acquiring a real electroencephalogram signal and calculating a real value of a corresponding sensor space function connection matrix; the deep learning mapping module is used for learning a mapping relation from the sensor space function connection matrix to the source space function connection matrix and outputting a predicted value of the source space function connection matrix; and the brain region correlation analysis module is used for calculating the correlation between the brain regions. The method can be used for accurately analyzing the correlation between the brain areas of the autism children.

The invention provides a hand rehabilitation training glove and system based on electromyographic signal guidance and pressure feedback, and the glove comprises a flexible glove main body which is made of an elastic material, is designed to fit the anatomical structure of a human hand, and is used for collecting bioelectrical signals generated by the remaining hand and forearm muscles of a patient when the patient actively intends to generate power; the embedded signal processing module is used for carrying out amplification, filtering, noise reduction and analog-to-digital conversion processing on the collected original electromyographic signals; and the main control unit is used for calculating time domain and frequency domain characteristic values of the electromyographic signals and identifying the motion intention of the patient based on a preset threshold value or an adaptive algorithm. Weak electromyographic signals are collected and processed in a high-precision mode and immediately converted into local touch pressure feedback corresponding to the functions of the weak electromyographic signals, neural pathway connection between the cerebral cortex and target muscles is enhanced, training interestingness and immersion and compliance of a patient are remarkably improved, and the training effect is improved. And key power is provided for continuous long-term rehabilitation training.

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 invention discloses a magnetoencephalogram-based epilepsy lesion positioning method and system and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the preprocessing of a structure image of a patient, carrying out the registration with the magnetoencephalogram of the patient, carrying out the grid division of a cerebral cortex region based on the preprocessed structure image and a registration result, and obtaining a forward model of the patient; performing preprocessing and spine wave detection on the magnetoencephalogram to obtain a spine wave time point sequence; based on the forward model and the ratchet wave time point sequence, using a magnetic dipole algorithm to calculate a source coordinate and a source direction of a ratchet wave time point, and classifying the ratchet wave time point sequence according to the source coordinate and the source direction to obtain a clustering result; calculating the source coordinate and the source direction of the class center of each class in the clustering result by using a magnetic dipole algorithm; generating a clinical report of the patient; according to the positioning method, the problems of large epilepsy diagnosis difference and error proneness caused by level difference of different doctors are solved, and the epilepsy focus position can be quickly determined.

The invention relates to an integrated flexible corticobrain electrode and a preparation method thereof.The flexible corticobrain electrode is composed of a flexible substrate layer, a wire layer and an insulating layer which are sequentially arranged in a stacked mode, the wire layer comprises an electrode contact array, a bonding pad contact array and a wire set, and the wire set spirally surrounds the electrode contact array; the bonding pad contact array is located on the outer side of the wire group; the electrode contact array and the flexible substrate layer and the insulating layer which correspond to each other up and down jointly form a signal acquisition electrode, the wire group and the flexible substrate layer and the insulating layer which correspond to each other up and down jointly form a connecting wire, and the bonding pad contact array and the flexible substrate layer and the insulating layer which correspond to each other up and down jointly form a bonding pad. The integrated flexible cortical brain electrode has the advantages of being small in size, high in flexibility and large in flux, in the using process, the signal collecting electrode can be better attached to a cerebral cortex collecting site, the problems of brain tissue damage and connection failure cannot occur, and the integrated flexible cortical brain electrode is friendly to experimental surgery operation.

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.

The invention discloses a cerebral cortex penetrator small blood vessel magnetic resonance imaging method based on an inflow enhancement effect. The method comprises the following steps: modeling a penetrator small blood vessel to generate a blood vessel TOF (Time of Flight) image; calculating the blood vessel-grey matter contrast ratio of the blood vessel TOF image under different FAs and different TRs, and optimizing the FAs and the TRs according to the blood vessel-tissue contrast ratio; obtaining a structural image of the in-vivo brain tissue, performing cortex reconstruction, and calculating an angle of a surface normal of each cortex vertex relative to the B0 field to obtain a cortex angle graph; adjusting a single-layer blood vessel scanning plane angle according to the cortex angle diagram; and according to the optimized FA and TR and the single-layer blood vessel scanning plane angle determined in the step S4, carrying out magnetic resonance imaging on the cerebral cortex perforation small blood vessel. The invention further discloses a cerebral cortex puncturing small blood vessel magnetic resonance imaging device based on the inflow enhancement effect. According to the method and the device, magnetic resonance imaging of the cerebral cortex perforation small blood vessel can be realized under the non-invasive and contrast-agent-free conditions.

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 invention discloses a portable frequency-adjustable transcranial magnetic stimulation system and a stimulation method thereof. The system comprises an application program, a central control system and an intervention module, wherein the application program, the central control system and the intervention module are arranged in portable insomnia therapeutic equipment; the application program and the intervention module are both connected with the central control system. According to the invention, accurate matching with human body natural slow wave rhythm (Delta wave 1-4Hz and Theta wave 4-8Hz) is realized by releasing 1-8Hz Gamma low-frequency magnetic pulse waves capable of inhibiting excessive activity through control, slow wave synchronism is enhanced through frequency-phase resonance of magnetic field-neural oscillation, sleep is improved, and an instantaneous alternating magnetic field is generated to penetrate through skull to act on cerebral cortex, so that sleep quality is improved. Compared with a traditional medicine therapy, an invasive therapy and a non-invasive therapy, the side effect is smaller, the risk is lower, sleep can be further improved by playing soothing music, and the sleep neural circuit can be conveniently regulated and controlled at home to conveniently improve insomnia.

The present application relates to a method, device, electronic device and storage medium for generating a cerebral cortical morphological network, wherein the method comprises: obtaining a cerebral cortical reconstructed image of a target object; segmenting the cerebral cortical reconstructed image to obtain multiple target areas of the cerebral cortex and a vertex set of each target area; connecting the vertices in the vertex set of each target area to obtain a sub-network corresponding to each target area; determining the state of the target leaf node based on whether the target leaf node is adjacent to other leaf nodes; if the state of the target leaf node is a to-be-connected state, determining a connecting leaf node corresponding to the target leaf node; connecting the leaf nodes in the to-be-connected state in each sub-network to the corresponding connecting leaf nodes to generate a cerebral cortical morphological network of the target object. Through the present application, the problem of low efficiency in generating a cerebral cortical morphological network is solved, and the efficiency of generating a cerebral cortical morphological network is improved.

The invention discloses a digital word pulse coding method (DWSFE) and a digital word pulse coding system fusing space and frequency characteristics, which are used for text information processing of a pulse neural network (SNN). The method comprises the following steps: constructing two vocabulary vector space modeling methods, namely interval semantic division vector coding (SSPE) and continuous semantic division vector coding (CSPE), based on a cerebral cortex semantic partitioning principle in neuroscience; converting the semantic vector into a pulse sequence with frequency characteristics through variable intensity Poisson coding (VIPE); and designing an unsupervised clustering SNN architecture containing a lateral suppression mechanism. According to the method, efficient pulse coding of text information is achieved, 100% classification accuracy is achieved under 400-dimensional word vectors, and compared with a traditional word embedding method, the application performance of SNN is greatly improved. The invention provides a low-power-consumption text processing system suitable for a neuromorphic computing device.

The invention discloses a gradient tuning type excitation coil structure and system for biological electromagnetic stimulation, and relates to the technical field of biological electromagnetic stimulation. The coil structure comprises a plurality of layers of 8-shaped stimulation coils which are horizontally placed above a biological electromagnetic stimulation target area, the inner diameter of each layer of 8-shaped stimulation coil is gradually increased layer by layer from bottom to top, and two coil units in each layer of 8-shaped stimulation coil are bilaterally symmetrical. The multi-layer 8-shaped stimulation coil is used for accessing excitation current through the discharge circuit so as to play a biological electromagnetic stimulation role on a target area, so that the focusing performance of the target area can be remarkably improved on the premise of not losing much induced electric field intensity through gradually increasing the inner diameters of the coils from bottom to top layer by layer, and the focusing performance of the target area is improved. Parts of hidden dangers caused by too large focusing area are eliminated, high electric field intensity is generated at the cerebral cortex, effectiveness of brain stimulation is guaranteed, and practical application and popularization are facilitated.

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 application belongs to the technical field of disease treatment devices, and relates to a transcranial magnetic stimulation individualized target point determination system, which comprises an individualized brain network construction module, a neural circuit selection module, a comparison module and a target point determination module; the individualized brain network construction module is used for establishing individualized brain networks of patients according to brain electrical data of the patients; the neural circuit selection module is used for selecting a neural circuit from the individualized brain networks of the patients; the comparison module is used for comparing the neural circuit with a normal value range to determine abnormal points; and the target point determination module is used for corresponding the abnormal points to cerebral cortex target points and determining individualized target point positions. The individualized algorithm is adopted, individualized differences of the patients are fully considered, and target point selection is not limited to the dorsolateral prefrontal cortex, so that more possibilities are provided for clinical treatment.

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.

This invention discloses a device for evaluating the therapeutic effect of sleep modulation based on cortical brain energy. It utilizes an EEG acquisition system to obtain EEG and electrooculography (EOG) data of sleep following both true and false stimulation. Independent component analysis (ICA) is used to preprocess the acquired data to filter out signal artifacts. Brain energy imaging is used to calculate the distribution of neural activity and extract the time series of sleep-related cortical brain energy. The YASA algorithm is used to segment sleep based on the time series of sleep-related cortical brain energy and the EOG data, and the difference in sleep efficiency after true and false stimulation is calculated. A correlation model between stimulation parameters and the difference in sleep efficiency is established. The device includes a data acquisition module and a processing module. This invention provides a scientific basis for evaluating the therapeutic effect of sleep modulation and is of great significance for the optimal selection of stimulation parameters, which can improve the therapeutic effect of sleep modulation.

The invention belongs to the technical field of postoperative rehabilitation, and particularly relates to a brain postoperative rehabilitation training nursing device which comprises a frame, universal wheels are arranged at the bottom of the frame, a rear fixing plate is arranged on one side of the frame, an upper limb training device is arranged on the upper side of the rear fixing plate, a lower limb training device is arranged on one side of the rear fixing plate, and a main controller is arranged on the rear fixing plate. The upper limb training device is electrically connected with the lower limb training device, and the upper limb training device and the lower limb training device are both electrically connected with the main controller; according to the invention, training of upper and lower limbs is integrated, a patient is forced to do coordinated movement through an electric control system, a natural movement mode of a human body is met, daily life actions are simulated, and cerebral cortex functional recombination and neural network reconstruction can be more effectively stimulated.

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.

The invention provides a construction method of a CETN3 knockout cell line, a human brain organ with microhead deformity and application of the human brain organ, and belongs to the field of organoids. The CETN3-deficient stem cells prepared by the method provided by the invention still have normal multiplication capacity and differentiation potential, do not influence the development of organoid, can still develop into organoid with good morphology, but have reduced volume, which is similar to phenotypes appearing in small head malformation patients. The CETN3 knockout embryonic stem cell line is utilized, the cells can be self-organized into a structure similar to the human cerebral cortex through nerve induction and 3D culture, and the phenotype of a small head malformation patient is simulated. By utilizing the organ, the research on the disease mechanism can be promoted, and the medicine can be screened more effectively and conveniently.

The present invention belongs to the technical field of brain-computer interface electrode implantation equipment, and specifically relates to an electrode array pneumatic implantation device, including an electrode propulsion device; the electrode propulsion device includes a fixed sleeve, a movable push rod, an electrode pressure head and an electrode push head; the upper end of the fixed sleeve is connected to the air source via a three-way joint; the upper end of the movable push rod extends into the fixed sleeve, and when the air pressure in the fixed sleeve changes, it can control the lifting and lowering movement of the movable push rod; the electrode push head is fixed to the lower end of the movable push rod and can push the electrode array downward into the cerebral cortex when it moves downward; the electrode pressure head is fixed to the lower end of the movable push rod and can pass through the mesh of the titanium mesh and resist the electrode array when it moves downward. The structure of this solution is simple, and the expansion and contraction of the movable push rod is controlled by the inflation and exhaust of the three-way joint, so that the error influencing factors of the electrode array implantation process are smaller, and the error risk is reduced; thereby improving the safety and stability of the electrode array during implantation.

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.