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Emerging concepts for the dynamical organization of resting-state activity in the brain

Emerging concepts for the dynamical organization of resting-state activity in the brain Spontaneous ongoing global activity of the brain at rest is highly structured in spatiotemporal patterns called resting-state networks. Resting-state networks are related to the underlying neuroanatomical structure, but they emerge as a result of the interplay between dynamics and structure. Resting-state networks therefore reflect the intrinsic properties of the brain network. These include neuroanatomical structure, local neuronal dynamics, signal transmission delays and genuine noise. The formation and dissolution of resting-state networks reflects the exploration of possible functional network configurations around a stable anatomical framework. Brain networks generally possess a small-world construction, in which there are multiple ways for different network elements to interact. This anatomical architecture provides the landscape within which different possible network configurations occur. In the absence of external stimulation, noise drives the network dynamics such that the system will visit these network configurations spontaneously. Resting-state networks were originally characterized by indirect and slow measures of neuronal activity (for example, by blood oxygen level-dependent (BOLD) functional MRI (fMRI)). However, it is now clear that large-scale resting-state networks correlate with neuronal rhythms at faster frequencies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nature Reviews Neuroscience Springer Journals

Emerging concepts for the dynamical organization of resting-state activity in the brain

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References (103)

Publisher
Springer Journals
Copyright
Copyright © 2011 by Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
Subject
Biomedicine; Biomedicine, general; Neurosciences; Behavioral Sciences; Biological Techniques; Neurobiology; Animal Genetics and Genomics
ISSN
1471-003X
eISSN
1471-0048
DOI
10.1038/nrn2961
Publisher site
See Article on Publisher Site

Abstract

Spontaneous ongoing global activity of the brain at rest is highly structured in spatiotemporal patterns called resting-state networks. Resting-state networks are related to the underlying neuroanatomical structure, but they emerge as a result of the interplay between dynamics and structure. Resting-state networks therefore reflect the intrinsic properties of the brain network. These include neuroanatomical structure, local neuronal dynamics, signal transmission delays and genuine noise. The formation and dissolution of resting-state networks reflects the exploration of possible functional network configurations around a stable anatomical framework. Brain networks generally possess a small-world construction, in which there are multiple ways for different network elements to interact. This anatomical architecture provides the landscape within which different possible network configurations occur. In the absence of external stimulation, noise drives the network dynamics such that the system will visit these network configurations spontaneously. Resting-state networks were originally characterized by indirect and slow measures of neuronal activity (for example, by blood oxygen level-dependent (BOLD) functional MRI (fMRI)). However, it is now clear that large-scale resting-state networks correlate with neuronal rhythms at faster frequencies.

Journal

Nature Reviews Neuroscience – Springer Journals

Published: Dec 20, 2010

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