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The invention relates to an individualized brain function mapping method based on cortical EEG high-frequency Gamma neural oscillation, which belongs to the field of neural engineering. The method comprises the following steps: preprocessing the collected cortical electroencephalography (ECoG) data; calculating the time-frequency event-related synchronization strength; statistical significance test and extracting brain function index; individualized brain function mapping. The method can quickly, accurately and comprehensively analyze EEG data related to brain functional areas through in-depth mining of ECoG data, obtain brain function indexes, realize individualized and targeted brain function mapping, and improve our understanding of complex The understanding of the brain mechanism of cognitive task processing provides powerful assistance for the study of brain function in cognitive neuroscience and basic research in clinical neuroscience.
A method for individualized positioning of intracranial electrodes based on multimodal medical image data fusion
A method for individualized positioning of intracranial electrodes based on multimodal medical image data fusion
The present invention utilizes various modalities of medical image data, including magnetic resonance images, X-ray images, and intraoperative optical photographs, to comprehensively measure the spatial positional relationship between intracranial electrodes and brain tissue structures, and to establish the intracranial electrode location. The connection between the position of the internal electrode and the anatomical structure of the brain realizes the accurate and rapid individualized positioning of the intracranial electrode.
An Individualized Brain Function Mapping Method Based on Cortical EEG High-frequency Gamma Neural Oscillation
An Individualized Brain Function Mapping Method Based on Cortical EEG High-frequency Gamma Neural Oscillation
The method can quickly, accurately, and comprehensively analyze EEG data related to brain functional areas through in-depth mining of ECoG data, obtain brain function indexes, realize individualized and targeted brain function mapping, and improve our understanding of the brain mechanism of cognitive task processing provides powerful assistance for the study of brain function in cognitive neuroscience and basic research in clinical neuroscience.
ECoG Signal Processing Tool
ECoG Signal Processing Tool
The tool comprises the following steps: preprocessing the collected cortical electroencephalography (ECoG) data; calculating the time-frequency event-related synchronization strength; statistical significance test and extracting brain function index; individualized brain function mapping.
A method for individualized three-dimensional dynamic visualization of information flow in large-scale cortical networks
A method for individualized three-dimensional dynamic visualization of information flow in large-scale cortical networks
The invention discloses a method for individualized 3D dynamic visualization of large-scale cortical network information flow based on multi-channel cortical EEG recording at different time and frequency band. The method explores the dynamic characteristics of brain information processing and the time-varying causal connection.
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Manuscript-Functional roles of cortical areas during an auditory naming task.pdfPage updated
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