Disrupted Small-world Networks are Associated with Decreased Vigilant Attention after Total Sleep Deprivation. (1st September 2021)

• Record Type: Journal Article
• Authors: Qi, Jing; Li, Bo-Zhi; Zhang, Ying; Pan, Bei; Gao, Yu-Hong; Zhan, Hao; Liu, Yong; Shao, Yong-Cong; Weng, Xie-Chuan; Zhang, Xi
• Is Part Of: Neuroscience. Volume 471(2021)
• Page Start: 51
• Page End: 60
• Publication Date: 2021-09-01
• Subjects: BG basal ganglia -- BOLD blood oxygenation level-dependent -- Cp clustering coefficient -- DMN default-mode networks -- FDR false discovery rate -- FPN frontoparietal networks -- FuG fusiform gyrus -- IFG inferior frontal gyrus -- ING insular gyrus -- ITG inferior temporal gyrus -- Lp shortest path length -- PoG postcentral gyrus -- PrG precentral gyrus -- pSTS posterior superior temporal sulcus -- PVT psychomotor vigilance test -- ROIs regions of interest -- rs-fMRI resting-state functional magnetic resonance imaging -- RT response time -- RW rested wakefulness -- SAN salience networks -- SMN sensorimotor networks -- STG superior temporal gyrus -- TSD total sleep deprivation; sleep deprivation -- brain functional networks -- graph theory analysis -- vigilant attention -- fMRI; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2021.07.010
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Sleep deprivation leads to disrupted small-world networks. Sleep loss induces enhanced clustering coefficient while reduced global efficiency. Disrupted small-world networks link to attention decline after sleep deprivation. Abstract: Sleep deprivation critically affects vigilant attention. Previous neuroimaging studies have revealed altered inter-regional functional connectivity after sleep deprivation, which may disrupt topological properties of brain functional networks. However, little is known about alterations in the topology of intrinsic connectivity and its involvement in attention performance after sleep deprivation. In the current study, we investigated the topological properties of brain networks derived from resting-state functional magnetic resonance imaging of 26 healthy men in rested wakefulness (RW) state and after 36 h of total sleep deprivation (TSD). In the predefined sparsity threshold range, both global and nodal network properties were evaluated based on graph theory analysis. Vigilant attention was assessed using the psychomotor vigilance test (PVT) before and after TSD. Furthermore, Pearson's correlation analyses were conducted to explore the association between altered network properties and changed PVT performance after TSD. At the global level, the brain functional networks in the TSD state showed a significantly lower small-world coefficient than RW, with decreased global efficiency. At the nodal level, the altered regions were selectively distributed in frontoparietal networks, sensorimotor networks, temporal regions, and salience networks. More specifically, the altered clustering coefficient in the posterior superior temporal sulcus (pSTS) and insula, and altered local efficiency in pSTS were further associated with PVT performance after TSD. Our results suggest that the topological properties of brain functional networks are disrupted, and aberrant topology of temporal networks and salience networks may act as neural signatures underlying the vigilant attention impairments after TSD.