Temporally-independent functional modes of spontaneous brain activity

Resting-state functional magnetic resonance imaging has become a powerful tool for the study of functional networks in the brain. Even "at rest," the brain's different functional networks spontaneously fluctuate in their activity level; each network's spatial extent can therefore be mapped by finding temporal correlations between its different subregions. Current correlation-based approaches measure the average functional connectivity between regions, but this average is less meaningful for regions that are part of multiple networks; one ideally wants a network model that explicitly allows overlap, for example, allowing a region's activity pattern to reflect one network's activity some of the time, and another…

• WT
  Wellcome Trust

  Award: 1U54MH091657
• NI
  National Institutes of Health

  Awards: 1U54MH091657, R01 EB000331, P41 RR08079, 1U54MH091657-01, P30 NS057091, RR08079