3 results about "Brain cortex" patented technology

A method for achieving super-resolution in localizing electrical fields measured at the head surface with electroencephalography through a generative model of the cerebral cortex that has a very high resolution of cortical surface dipoles constructed from the known properties of human cerebral cortex and adapted to optimize the Bayesian explanation the individual's cortical surface electrical fields. The iterative optimization of the prior (generative) with the posterior (observed) fields with extensive data from extended recordings provides a probabilistic estimation of the individual's functional brain activity that can be used to train artificial neural network approximations of the individual's mental activity.

The application discloses a kind of based on multi-modal brain image fusion mood disorder identification method, belong to medical image processing and artificial intelligence auxiliary diagnosis technical field;Including the following steps: obtaining multi-modal brain image, registration to spherical space and alignment;After extracting and fusing features, spherical space-time self-attention coding and gate modulation are carried out;Modulated features are recursively down-sampled from initial level to penultimate level, and the aforementioned operation is repeated at each layer;In this level, features are processed in parallel, fused and compressed to the lowest level, while extracting clustering embedding features;Global features are aggregated at the lowest level, and after fusing with clustering embedding features, the recognition result is output by the clustering perception classifier;The application realizes multi-modal fusion and dynamic feature extraction under the maintenance of cerebral cortex topological structure, improves recognition accuracy and generalization ability.

This invention discloses a mapping method, localization device, and online query system from the cerebral cortex to the cranial surface. The mapping method includes the following steps: selecting the i-th cortical target point in the MNI standard brain space; transforming the cortical target point in the MNI standard brain space to the original space of the j-th participant, as the original spatial target point; accurately locating the optimal individual cranial surface position of the i-th cortical target point in the j-th participant corresponding to the original spatial target point; mapping the i-th cortical target point to the optimal individual cranial surface positions of all participants; expressing the optimal individual cranial surface positions of all participants corresponding to the i-th cortical target point in the CPC space to calculate the corresponding optimal group-level cranial surface positions; thus obtaining the optimal group-level cranial surface positions of all cortical target points corresponding to all participants. Based on a large sample population, this invention uses cranial surface point normals to establish a group probability mapping between all coordinates in the standard brain space and the cranial surface space.