Literature DB >> 26712339

The brain functional connectome is robustly altered by lack of sleep.

Tobias Kaufmann1, Torbjørn Elvsåshagen2, Dag Alnæs3, Nathalia Zak4, Per Ø Pedersen5, Linn B Norbom6, Sophia H Quraishi7, Enzo Tagliazucchi8, Helmut Laufs8, Atle Bjørnerud9, Ulrik F Malt10, Ole A Andreassen11, Evangelos Roussos12, Eugene P Duff12, Stephen M Smith12, Inge R Groote13, Lars T Westlye14.   

Abstract

Sleep is a universal phenomenon necessary for maintaining homeostasis and function across a range of organs. Lack of sleep has severe health-related consequences affecting whole-body functioning, yet no other organ is as severely affected as the brain. The neurophysiological mechanisms underlying these deficits are poorly understood. Here, we characterize the dynamic changes in brain connectivity profiles inflicted by sleep deprivation and how they deviate from regular daily variability. To this end, we obtained functional magnetic resonance imaging data from 60 young, adult male participants, scanned in the morning and evening of the same day and again the following morning. 41 participants underwent total sleep deprivation before the third scan, whereas the remainder had another night of regular sleep. Sleep deprivation strongly altered the connectivity of several resting-state networks, including dorsal attention, default mode, and hippocampal networks. Multivariate classification based on connectivity profiles predicted deprivation state with high accuracy, corroborating the robustness of the findings on an individual level. Finally, correlation analysis suggested that morning-to-evening connectivity changes were reverted by sleep (control group)-a pattern which did not occur after deprivation. We conclude that both, a day of waking and a night of sleep deprivation dynamically alter the brain functional connectome.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Circadian variability; Machine learning; Sleep deprivation; fMRI-based connectivity

Mesh:

Year:  2015        PMID: 26712339      PMCID: PMC6600874          DOI: 10.1016/j.neuroimage.2015.12.028

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  42 in total

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