公开(公告)号：US20240159849A1

公开(公告)日：2024-05-16

申请号：US18387862

申请日：2023-11-08

Applicant: SHANXI UNIVERSITY

Inventor： Yuhui DU

IPC: G01R33/56 ,  G06V10/32 ,  G06V10/77

CPC classification number: G01R33/5608 ,  G06V10/32 ,  G06V10/7715 ,  G06V2201/031

Abstract: A group information guided smooth independent component analysis method for brain functional network analysis is provided. The method includes: performing independent component analysis on multi-subject fMRI data to obtain independent components at the group level; constructing multi-objective function that reflects independence of component of individual subject, correspondence of component across different subjects, and spatial smoothness of component based on iterative reference component that are initialized using group-level independent component, iterative voxel-level features that are computed based on reference component, and individual subject's fMRI data; iteratively optimizing multi-objective function to estimate independent components; and obtaining brain functional networks and calculating time courses of brain functional networks for individual subject.