期刊
NEURON
卷 72, 期 4, 页码 665-678出版社
CELL PRESS
DOI: 10.1016/j.neuron.2011.09.006
关键词
-
资金
- NIH [R21NS061144, R01NS32979, R01HD057076, F30NS062489, U54MH091657]
- McDonnell Foundation
- NSF IGERT [DGE-0548890]
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 M RI. 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.
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