IDENTIFICATION OF FUNCTIONAL CORTICO-SUBCORTICAL NETWORKS IN RESTING-STATE FMRI: A COMBINED NEDICA AND GLM ANALYSIS

被引：0

作者：

Malherbe, C. ^{[1
]}

Pelegrini-Issac, M. ^{[1
]}

Perlbarg, V. ^{[1
]}

Lehericy, S. ^{[1
]}

Marrelec, G. ^{[1
]}

Benali, H. ^{[1
]}

机构：

[1] INSERM, Paris, France

来源：

2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO | 2010年

关键词：

fMRI; functional connectivity; functional networks; basal ganglia; BASAL GANGLIA; CONNECTIVITY;

D O I：

10.1109/ISBI.2010.5490202

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：1169 / 1172

页数：4

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