학술논문
Identification of functional cortico-subcortical networks in resting-state fMRI: A combined nedica and GLM analysis
Document Type
Conference
Source
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on. :1169-1172 Apr, 2010
Subject
Language
ISSN
1945-7928
1945-8452
1945-8452
Abstract
While the cortical components of functional networks detected by spatial independent component analysis (sICA) in functional magnetic resonance imaging (fMRI) have been reproducibly described in various studies, little is known about their subcortical components. In this study, we propose a method that extracts cortico-subcortical networks from fMRI data by first detecting cortical networks with sICA and then by complementing them with subcortical components using multiple regression, at both the individual and the group levels.