Effects of Chronic Sleep Restriction on the Brain Functional Network, as Revealed by Graph Theory

Sleep is a complex and dynamic process for maintaining homeostasis, and a lack of sleep can disrupt whole-body functioning. No organ is as vulnerable to the loss of sleep as the brain. Accordingly, we examined a set of task-based functional magnetic resonance imaging (fMRI) data by using graph theor...

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Published inFrontiers in neuroscience Vol. 13; p. 1087
Main Authors Farahani, Farzad V., Fafrowicz, Magdalena, Karwowski, Waldemar, Douglas, Pamela K., Domagalik, Aleksandra, Beldzik, Ewa, Oginska, Halszka, Marek, Tadeusz
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 11.10.2019
Frontiers Media S.A
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Summary:Sleep is a complex and dynamic process for maintaining homeostasis, and a lack of sleep can disrupt whole-body functioning. No organ is as vulnerable to the loss of sleep as the brain. Accordingly, we examined a set of task-based functional magnetic resonance imaging (fMRI) data by using graph theory to assess brain topological changes in subjects in a state of chronic sleep restriction, and then identified diurnal variability in the graph-theoretic measures. Task-based fMRI data were collected in a 1.5T MR scanner from the same participants on two days: after a week of fully restorative sleep and after a week with 35% sleep curtailment. Each day included four scanning sessions throughout the day (at approximately 10:00 AM, 2:00 PM, 6:00 PM, and 10:00 PM). A modified spatial cueing task was applied to evaluate sustained attention. After sleep restriction, the characteristic path length significantly increased at all measurement times, and small-worldness significantly decreased. Assortativity, a measure of network fault tolerance, diminished over the course of the day in both conditions. Local graph measures were altered primarily across the limbic system (particularly in the hippocampus, parahippocampal gyrus, and amygdala), default mode network, and visual network.
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This article was submitted to Neural Technology, a section of the journal Frontiers in Neuroscience
Edited by: Hari S. Sharma, Uppsala University, Sweden
Reviewed by: Brent Winslow, Design Interactive, United States; Qiyong Gong, Sichuan University, China
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2019.01087