Large-Scale Brain Network Coupling Predicts Total Sleep Deprivation Effects on Cognitive Capacity

Interactions between large-scale brain networks have received most attention in the study of cognitive dysfunction of human brain. In this paper, we aimed to test the hypothesis that the coupling strength of large-scale brain networks will reflect the pressure for sleep and will predict cognitive pe...

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Bibliographic Details
Published in:PloS one 2015-07, Vol.10 (7), p.e0133959-e0133959
Main Authors: Lei, Yu, Shao, Yongcong, Wang, Lubin, Zhai, Tianye, Zou, Feng, Ye, Enmao, Jin, Xiao, Li, Wuju, Qi, Jianlin, Yang, Zheng
Format: Article
Language:English
Subjects:
Adult
Brain - diagnostic imaging
Brain - physiopathology
Brain research
Cognition
Cognitive ability
Connectivity
Dementia
Humans
Hypotheses
Magnetic resonance
Magnetic Resonance Imaging
Male
Medical research
Memory
Mental depression
Mental health
Nerve Net - diagnostic imaging
Nerve Net - physiopathology
Network switching
Nicotine
NMR
Nuclear magnetic resonance
Radiography
Sleep deprivation
Sleep Deprivation - diagnostic imaging
Sleep Deprivation - physiopathology
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Summary:Interactions between large-scale brain networks have received most attention in the study of cognitive dysfunction of human brain. In this paper, we aimed to test the hypothesis that the coupling strength of large-scale brain networks will reflect the pressure for sleep and will predict cognitive performance, referred to as sleep pressure index (SPI). Fourteen healthy subjects underwent this within-subject functional magnetic resonance imaging (fMRI) study during rested wakefulness (RW) and after 36 h of total sleep deprivation (TSD). Self-reported scores of sleepiness were higher for TSD than for RW. A subsequent working memory (WM) task showed that WM performance was lower after 36 h of TSD. Moreover, SPI was developed based on the coupling strength of salience network (SN) and default mode network (DMN). Significant increase of SPI was observed after 36 h of TSD, suggesting stronger pressure for sleep. In addition, SPI was significantly correlated with both the visual analogue scale score of sleepiness and the WM performance. These results showed that alterations in SN-DMN coupling might be critical in cognitive alterations that underlie the lapse after TSD. Further studies may validate the SPI as a potential clinical biomarker to assess the impact of sleep deprivation.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0133959