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Related Experiment Video

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Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice
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Network-dependent modulation of brain activity during sleep.

Takamitsu Watanabe1, Shigeyuki Kan2, Takahiko Koike2

  • 1Department of Physiology, The University of Tokyo, School of Medicine, Tokyo, 113-0033, Japan; Institute of Cognitive Neuroscience, University College London, London, WC1N 3AR, UK.

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Brain network activity dynamically changes within sleep stages. The default-mode network is more active during slow-wave sleep (SWS), while fronto-parietal and sensory-motor networks are more active during rapid-eye-movement (REM) sleep.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Sleep Science

Background:

  • Brain activity fluctuates dynamically, even during sleep.
  • Previous studies show changes in functional connectivity and regional activity across sleep stages like slow-wave sleep (SWS) and rapid-eye-movement (REM) sleep.
  • How large-scale brain network activity changes within a specific sleep stage remains unclear.

Purpose of the Study:

  • To investigate the modulation of large-scale brain network activity within specific sleep stages.
  • To understand dynamic changes in network activity during SWS and REM sleep.

Main Methods:

  • Applied a pairwise maximum entropy model to functional magnetic resonance imaging (fMRI) data.
  • Analyzed brain activity from healthy subjects during sleep.

Main Results:

  • Default-mode network activity increased during SWS and decreased during REM sleep.
  • Fronto-parietal and sensory-motor network activity showed the opposite pattern.
  • Activity changes within REM sleep were negatively correlated with those within SWS across all three networks.

Conclusions:

  • Brain activity is dynamically modulated even within a single sleep stage.
  • The pattern of this modulation is dependent on the specific large-scale brain network.