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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Using functional connectivity changes associated with cognitive fatigue to delineate a fatigue network.

G R Wylie1,2,3, B Yao4,5, H M Genova4,5

  • 1Kessler Foundation, Rocco Ortenzio Neuroimaging Center, 1199 Pleasant Valley Way, West Orange, NJ, 07052, USA. gwylie@kesslerfoundation.org.

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Summary
This summary is machine-generated.

Cognitive fatigue impacts brain connectivity. Functional connectivity between key brain regions, like the striatum and prefrontal cortex, decreases with mental exertion, revealing a dynamic fatigue network.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Brain Imaging

Background:

  • Cognitive fatigue, resulting from mental work, is a prevalent issue.
  • Functional neuroimaging studies suggest a
  • fatigue network
  • involving regions such as the striatum, dorsolateral prefrontal cortex (DLPFC), dorsal anterior cingulate cortex (dACC), ventro-medial prefrontal cortex (vmPFC), and anterior insula.
  • Previous research has not investigated changes in functional connectivity within this network during cognitive fatigue.

Purpose of the Study:

  • To investigate how functional connectivity between key brain regions changes as a function of experimentally induced cognitive fatigue.
  • To identify central nodes or hubs within the brain's fatigue network.

Main Methods:

  • Utilized a task-based functional neuroimaging paradigm to induce cognitive fatigue in 39 healthy participants.
  • Analyzed functional connectivity by regressing task-related signals from the neuroimaging data.
  • Examined changes in connectivity between predefined seed regions (striatum, DLPFC, dACC, vmPFC, insula) and other brain areas.

Main Results:

  • Functional connectivity between the identified fatigue network regions and other frontal areas generally decreased with increasing cognitive fatigue.
  • Connectivity between these frontal regions and more posterior brain areas increased as fatigue levels rose.
  • The striatum, DLPFC, insula, and vmPFC were identified as central nodes or hubs within the fatigue network.

Conclusions:

  • This study provides the first evidence that functional connectivity within the brain's fatigue network dynamically changes with increasing cognitive fatigue.
  • Findings highlight the interconnected nature of brain regions involved in cognitive fatigue and identify key hubs.