Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns.

ABSTRACT: Recent fMRI studies have shown that analysis of the human brain's spontaneous activity may provide a powerful approach to reveal its functional organization. Dedicated methods have been proposed to investigate co-variation of signals from different brain regions, with the goal of revealing neuronal networks (NNs) that may serve specialized functions. However, these analysis methods generally do not take into account a potential non-stationary (variable) interaction between brain regions, and as a result have limited effectiveness. To address this, we propose a novel analysis method that uses clustering analysis to sort and selectively average fMRI activity time frames to produce a set of co-activation patterns. Compared to the established networks extracted with conventional analysis metho

SUBMITTER: Liu X 

PROVIDER: S-EPMC3913885 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature