Brain activity at rest: a multiscale hierarchical functional organization

Gaëlle E. Doucet(Université de Bordeaux), Mikaël Naveau(Université de Bordeaux), Laurent Petit(Université de Bordeaux), Nicolas Delcroix(Imaging, Brain, and Neuropsychiatry), Laure Zago(Université de Bordeaux), Fabrice Crivello(Université de Bordeaux), Gaël Jobard(Université de Bordeaux), Nathalie Tzourio‐Mazoyer(Université de Bordeaux), Bernard Mazoyer(Université de Bordeaux), Emmanuel Mellet(Université de Bordeaux), Marc Joliot(Université de Bordeaux)
Journal of Neurophysiology
March 24, 2011
Cited by 349

Abstract

Spontaneous brain activity was mapped with functional MRI (fMRI) in a sample of 180 subjects while in a conscious resting-state condition. With the use of independent component analysis (ICA) of each individual fMRI signal and classification of the ICA-defined components across subjects, a set of 23 resting-state networks (RNs) was identified. Functional connectivity between each pair of RNs was assessed using temporal correlation analyses in the 0.01- to 0.1-Hz frequency band, and the corresponding set of correlation coefficients was used to obtain a hierarchical clustering of the 23 RNs. At the highest hierarchical level, we found two anticorrelated systems in charge of intrinsic and extrinsic processing, respectively. At a lower level, the intrinsic system appears to be partitioned in three modules that subserve generation of spontaneous thoughts (M1a; default mode), inner maintenance and manipulation of information (M1b), and cognitive control and switching activity (M1c), respectively. The extrinsic system was found to be made of two distinct modules: one including primary somatosensory and auditory areas and the dorsal attentional network (M2a) and the other encompassing the visual areas (M2b). Functional connectivity analyses revealed that M1b played a central role in the functioning of the intrinsic system, whereas M1c seems to mediate exchange of information between the intrinsic and extrinsic systems.


Related Papers