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Related Experiment Video

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Variability in Cumulative Habitual Sleep Duration Predicts Waking Functional Connectivity.

Sakh Khalsa1,2, Stephen D Mayhew1, Izabela Przezdzik1

  • 1Birmingham University Imaging Centre (BUIC), School of Psychology, University of Birmingham, Birmingham, UK.

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|September 29, 2015
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Summary

Habitual sleep duration, measured as cumulative habitual total sleep time (cTST), predicts brain functional connectivity. Longer sleep duration was linked to altered intranetwork and internetwork connectivity within key brain networks.

Keywords:
DMNcentral executive networkfMRIfunctional connectivityhabitual total sleep timesalience networksleepsleep quality.

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Area of Science:

  • Neuroscience
  • Sleep Science
  • Cognitive Neuroscience

Background:

  • Individual differences in sleep patterns are common.
  • Understanding how sleep duration impacts brain function is crucial.
  • Intrinsically connected networks (ICNs) like the DMN, SN, and CEN are fundamental to cognition.

Purpose of the Study:

  • To investigate if habitual sleep duration (cTST) correlates with brain functional connectivity (FC) in waking states.
  • To examine FC within and between the default mode network (DMN), salience network (SN), and central executive network (CEN).

Main Methods:

  • Utilized resting-state fMRI and 14-day actigraphy in 33 healthy adults.
  • Employed seed-based FC analysis and multiple linear regression.
  • Assessed cumulative habitual total sleep time (cTST) and its relationship with FC.

Main Results:

  • cTST positively predicted intranetwork FC within the DMN (mesial prefrontal cortex).
  • cTST negatively predicted internetwork FC between the DMN and SN (right anterior insula).
  • No significant FC-cTST relationships were found excluding the MPFC.

Conclusions:

  • Habitual sleep duration significantly predicts functional connectivity within and between major brain networks.
  • These findings link sleep quantity to brain network organization, potentially explaining sleep's impact on cognitive performance.