A novel fMRI group data analysis method based on data-driven reference extracting from group subjects

• Published in: Computer methods and programs in biomedicine Vol. 122; no. 3; pp. 362 - 371
• Main Authors: Shi, Yuhu, Zeng, Weiming, Wang, Nizhuan, Chen, Dongtailang
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 01.12.2015
• Subjects: A priori information; Brain - physiology; Brain Mapping - methods; FastICA; Female; Functional magnetic resonance imaging; Group-independent component analysis; Humans; Image Interpretation, Computer-Assisted - methods; Internal Medicine; Intrinsic reference; Magnetic Resonance Imaging - methods; Male; Other; Intrinsic reference; Group-independent component analysis; Functional magnetic resonance imaging; A priori information; FastICA

•We presented a novel method to extract group intrinsic reference from all subjects in a group.•A new group ICA model with intrinsic reference (GICA-IR) was further proposed for fMRI data analysis.•GICA-IR was shown to better reflect the commonness of subjects in the group. Group-independent compone...