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Brain activity at rest: a multiscale hierarchical functional organization.
- Source :
-
Journal of neurophysiology [J Neurophysiol] 2011 Jun; Vol. 105 (6), pp. 2753-63. Date of Electronic Publication: 2011 Mar 23. - Publication Year :
- 2011
-
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.
- Subjects :
- Adolescent
Adult
Algorithms
Brain blood supply
Female
Humans
Image Processing, Computer-Assisted methods
Magnetic Resonance Imaging methods
Male
Middle Aged
Models, Neurological
Neural Pathways physiology
Oxygen blood
Principal Component Analysis
Statistics as Topic
Young Adult
Brain physiology
Brain Mapping
Rest physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1522-1598
- Volume :
- 105
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Journal of neurophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 21430278
- Full Text :
- https://doi.org/10.1152/jn.00895.2010