Impact of 36 h of total sleep deprivation on resting-state dynamic functional connectivity

• Published in: Brain research Vol. 1688; pp. 22 - 32
• Main Authors: Xu, Huaze, Shen, Hui, Wang, Lubin, Zhong, Qi, Lei, Yu, Yang, Liu, Zeng, Ling-Li, Zhou, Zongtan, Hu, Dewen, Yang, Zheng
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.06.2018
• Subjects: Dynamic functional connectivity; Resting-state functional magnetic resonance imaging; Sleep deprivation; Spectral clustering; Dynamic functional connectivity; Spectral clustering; Resting-state functional magnetic resonance imaging; Sleep deprivation
• DOI: 10.1016/j.brainres.2017.11.011
• ISSN: 0006-8993; 1872-6240

•SD altered dynamics in resting-state FC with specific regions.•SD significantly influenced dwell time and transition between FC states.•RW-dominant or SD-dominant FC states can be identified.•Sleep states are effectively classified with FC states’ temporal features. Resting-state functional magnetic resonance imaging (fMRI) studies using static functional connectivity (sFC) measures have shown that the brain function is severely disrupted after long-term sleep deprivation (SD). However, increasing evidence has suggested that resting-state functional connectivity (FC) is dynamic and exhibits spontaneous fluctuation on a smaller timescale. The process by which long-term SD can influence dynamic functional connectivity (dFC) remains unclear. In this study, 37 healthy subjects participated in the SD experiment, and they were scanned both during rested wakefulness (RW) and after 36 h of SD. A sliding-window based approach and a spectral clustering algorithm were used to evaluate the effects of SD on dFC based on the 26 qualified subjects’ data. The outcomes showed that time-averaging FC across specific regions as well as temporal properties of the FC states, such as the dwell time and transition probability, was strongly influenced after SD in contrast to the RW condition. Based on the occurrences of FC states, we further identified some RW-dominant states characterized by anti-correlation between the default mode network (DMN) and other cortices, and some SD-dominant states marked by significantly decreased thalamocortical connectivity. In particular, the temporal features of these FC states were negatively correlated with the correlation coefficients between the DMN and dorsal attention network (dATN) and demonstrated high potential in classification of sleep state (with 10-fold cross-validation accuracy of 88.6% for dwell time and 88.1% for transition probability). Collectively, our results suggested that the temporal properties of the FC states greatly account for changes in the resting-state brain networks following SD, which provides new insights into the impact of SD on the resting-state functional organization in the human brain.