Tired and misconnected: A breakdown of brain modularity following sleep deprivation

Eti Ben Simon*, Adi Maron-Katz, Nir Lahav, Ron Shamir, Talma Hendler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Sleep deprivation (SD) critically affects a range of cognitive and affective functions, typically assessed during task performance. Whether such impairments stem from changes to the brain's intrinsic functional connectivity remain largely unknown. To examine this hypothesis, we applied graph theoretical analysis on resting-state fMRI data derived from 18 healthy participants, acquired during both sleep-rested and sleep-deprived states. We hypothesized that parameters indicative of graph connectivity, such as modularity, will be impaired by sleep deprivation and that these changes will correlate with behavioral outcomes elicited by sleep loss. As expected, our findings point to a profound reduction in network modularity without sleep, evident in the limbic, default-mode, salience and executive modules. These changes were further associated with behavioral impairments elicited by SD: a decrease in salience module density was associated with worse task performance, an increase in limbic module density was predictive of stronger amygdala activation in a subsequent emotional-distraction task and a shift in frontal hub lateralization (from left to right) was associated with increased negative mood. Altogether, these results portray a loss of functional segregation within the brain and a shift towards a more random-like network without sleep, already detected in the spontaneous activity of the sleep-deprived brain. Hum Brain Mapp 38:3300–3314, 2017.

Original languageEnglish
Pages (from-to)3300-3314
Number of pages15
JournalHuman Brain Mapping
Volume38
Issue number6
DOIs
StatePublished - Jun 2017

Keywords

  • amygdala
  • fMRI
  • functional connectivity
  • graph theory
  • modularity
  • mood
  • sleep deprivation

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