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Functional connectivity at rest is sensitive to individual differences in executive function: A network analysis.

Andrew E Reineberg1, Marie T Banich1,2

  • 1Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, 80309.

Human Brain Mapping
|May 12, 2016
PubMed
Summary
This summary is machine-generated.

Brain network connectivity at rest is linked to individual differences in executive functions (EF). Specific patterns of brain network hubs correlate with common EF, shifting-specific EF, and updating-specific EF abilities.

Keywords:
executive functiongraph theoryindividual differencesnetwork analysisresting-state fMRI

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Network Science

Background:

  • Executive functions (EF) are crucial cognitive processes underlying goal-directed behavior.
  • Individual differences in EF are substantial and linked to various cognitive and behavioral outcomes.
  • Graph theory offers a framework to analyze brain network topology and its relation to cognitive functions.

Purpose of the Study:

  • To investigate the association between resting-state brain network characteristics and three dimensions of executive function: common EF, shifting-specific EF, and updating-specific EF.
  • To determine if specific patterns of brain connectivity, particularly in frontoparietal regions, relate to individual differences in these EF dimensions.
  • To explore both a priori and whole-brain network analyses to identify relevant brain regions.

Main Methods:

  • Utilized graph theory to analyze resting-state functional magnetic resonance imaging (fMRI) data.
  • Performed an a priori analysis focusing on frontoparietal regions associated with EF.
  • Conducted a whole-brain analysis to identify broader network connectivity patterns related to EF.

Main Results:

  • Individual differences in common EF, shifting-specific EF, and updating-specific EF were associated with distinct patterns of resting-state brain connectivity.
  • Higher common EF correlated with increased integrative connectivity in the cuneus and supplementary motor area, but decreased integration in lateral frontal and left temporal regions.
  • Shifting-specific EF was linked to more hub-like connectivity in motor and cingulo-opercular regions, while updating-specific EF showed less hub-like connectivity in frontoparietal regions.

Conclusions:

  • Resting-state brain network topology is associated with individual differences across multiple dimensions of executive function.
  • The findings highlight that executive functions are not solely dependent on frontoparietal network connectivity, involving other brain regions as well.
  • Higher executive function abilities are associated with complex network configurations, including both increased and decreased hub-like characteristics in various brain regions.