Functional Network Organization of the Human Brain

Jonathan D. Power, Alexander L. Cohen, Steven M. Nelson, Gagan S. Wig, Kelly Anne Barnes, Jessica A. Church, Alecia C. Vogel, Timothy O. Laumann, Fran M. Miezin, Bradley L. Schlaggar, Steven E. Petersen

Research output: Contribution to journalArticlepeer-review

1472 Scopus citations


Real-world complex systems may be mathematically modeled as graphs, revealing properties of the system. Here we study graphs of functional brain organization in healthy adults using resting state functional connectivity MRI. We propose two novel brain-wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships. These graphs contain many subgraphs in good agreement with known functional brain systems. Other subgraphs lack established functional identities; we suggest possible functional characteristics for these subgraphs. Further, graph measures of the areal network indicate that the default mode subgraph shares network properties with sensory and motor subgraphs: it is internally integrated but isolated from other subgraphs, much like a " processing" system. The modified voxelwise graph also reveals spatial motifs in the patterning of systems across the cortex.

Original languageEnglish (US)
Pages (from-to)665-678
Number of pages14
Issue number4
StatePublished - Nov 17 2011
Externally publishedYes

Bibliographical note

Funding Information:
We thank Nico Dosenbach, Thomas Pearce, Bradley Miller, and our reviewers for their attentive reading of this manuscript. We thank Olaf Sporns and Mika Rubinov for technical help with graph analysis, and Joe Dubis for help with meta-analyses. This work was supported by NIH R21NS061144 (S.P.), NIH R01NS32979 (S.P.), a McDonnell Foundation Collaborative Action Award (S.P.), NIH R01HD057076 (B.L.S.), NIH F30NS062489 (A.L.C.), NIH U54MH091657 (David Van Essen), and NSF IGERT DGE-0548890 (Kurt Thoroughman).


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