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Functional connectivity dynamics slow with descent from wakefulness to sleep

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  • Mazen El-Baba
  • Daniel J Lewis
  • Zhuo Fang
  • Adrian M Owen
  • Stuart M Fogel
  • J Bruce Morton

Abstract

The transition from wakefulness to sleep is accompanied by widespread changes in brain functioning. Here we investigate the implications of this transition for interregional functional connectivity and their dynamic changes over time. Simultaneous EEG-fMRI was used to measure brain functional activity of 21 healthy participants as they transitioned from wakefulness into sleep. fMRI volumes were independent component analysis (ICA)-decomposed, yielding 42 neurophysiological sources. Static functional connectivity (FC) was estimated from independent component time courses. A sliding window method and k-means clustering (k = 7, L2-norm) were used to estimate dynamic FC. Static FC in Wake and Stage-2 Sleep (NREM2) were largely similar. By contrast, FC dynamics across wake and sleep differed, with transitions between FC states occurring more frequently during wakefulness than during NREM2. Evidence of slower FC dynamics during sleep is discussed in relation to sleep-related reductions in effective connectivity and synaptic strength.

Suggested Citation

  • Mazen El-Baba & Daniel J Lewis & Zhuo Fang & Adrian M Owen & Stuart M Fogel & J Bruce Morton, 2019. "Functional connectivity dynamics slow with descent from wakefulness to sleep," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-13, December.
    • Handle: RePEc:plo:pone00:0224669
    DOI: 10.1371/journal.pone.0224669
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    1. Anthony Randal McIntosh & Natasa Kovacevic & Roxane J Itier, 2008. "Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development," PLOS Computational Biology, Public Library of Science, vol. 4(7), pages 1-9, July.
    2. Glenn N Saxe & Daniel Calderone & Leah J Morales, 2018. "Brain entropy and human intelligence: A resting-state fMRI study," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
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