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A dual-networks architecture of top-down control.

ABSTRACT: Complex systems ensure resilience through multiple controllers acting at rapid and slower timescales. The need for efficient information flow through complex systems encourages small-world network structures. On the basis of these principles, a group of regions associated with top-down control was examined. Functional magnetic resonance imaging showed that each region had a specific combination of control signals; resting-state functional connectivity grouped the regions into distinct 'fronto-parietal' and 'cingulo-opercular' components. The fronto-parietal component seems to initiate and adjust control; the cingulo-opercular component provides stable 'set-maintenance' over entire task epochs. Graph analysis showed dense local connections within components and weaker 'long-range' connections between components, suggesting a small-world architecture. The control systems of the brain seem to embody the principles of complex systems, encouraging resilient performance.

SUBMITTER: Dosenbach NU

PROVIDER: S-EPMC3632449 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature

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A dual-networks architecture of top-down control.

Dosenbach Nico U F NU Fair Damien A DA Cohen Alexander L AL Schlaggar Bradley L BL Petersen Steven E SE

Trends in cognitive sciences 20080211 3

Complex systems ensure resilience through multiple controllers acting at rapid and slower timescales. The need for efficient information flow through complex systems encourages small-world network structures. On the basis of these principles, a group of regions associated with top-down control was examined. Functional magnetic resonance imaging showed that each region had a specific combination of control signals; resting-state functional connectivity grouped the regions into distinct 'fronto-pa ...[more]

PMID: 18262825

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