Identification of Resting State Networks Involved in Executive Function

Joanna Connolly, Jonathan P. McNulty, Lorraine Boran, Richard A.P. Roche, David Delany, Arun L.W. Bokde

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The structural networks in the human brain are consistent across subjects, and this is reflected also in that functional networks across subjects are relatively consistent. These findings are not only present during performance of a goal oriented task but there are also consistent functional networks during resting state. It suggests that goal oriented activation patterns may be a function of component networks identified using resting state. The current study examines the relationship between resting state networks measured and patterns of neural activation elicited during a Stroop task. The association between the Stroop-activated networks and the resting state networks was quantified using spatial linear regression. In addition, we investigated if the degree of spatial association of resting state networks with the Stroop task may predict performance on the Stroop task. The results of this investigation demonstrated that the Stroop activated network can be decomposed into a number of resting state networks, which were primarily associated with attention, executive function, visual perception, and the default mode network. The close spatial correspondence between the functional organization of the resting brain and task-evoked patterns supports the relevance of resting state networks in cognitive function.

Original languageEnglish
Pages (from-to)365-374
Number of pages10
JournalBrain Connectivity
Volume6
Issue number5
DOIs
Publication statusPublished - 01 Jun 2016

Keywords

  • cognition
  • functional magnetic resonance imaging
  • independent component analysis
  • intrinsic networks
  • resting state functional connectivity magnetic resonance imaging

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