Group differences in MEG-ICA derived resting state networks: Application to major depressive disorder.

ABSTRACT:

Unlabelled

Functional magnetic resonance imaging (fMRI) studies have revealed the existence of robust, interconnected brain networks exhibiting correlated low frequency fluctuations during rest, which can be derived by examining inherent spatio-temporal patterns in functional scans independent of any a priori model. In order to explore the electrophysiological underpinnings of these networks, analogous techniques have recently been applied to magnetoencephalography (MEG) data, revealing similar networks that exhibit correlated low frequency fluctuations in the power envelope of beta band (14-30Hz) power. However, studies to date using this technique have concentrated on healthy subjects, and no method has yet been presented for group comparisons. We extended the ICA resting state M

SUBMITTER: Nugent AC 

PROVIDER: S-EPMC4555091 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature