White Matter Microstructural Properties are Related to Inter-Individual Differences in Cognitive Instability after Sleep Deprivation. (4th December 2017)

• Record Type: Journal Article
• Authors: Zhu, Yuanqiang; Wang, Liuxian; Xi, Yibin; Dai, Tian; Fei, Ningbo; Liu, Lin; Xu, Ziliang; Yang, Xuejuan; Fu, Chang; Sun, Jinbo; Xu, Junling; Shi, Dapeng; Tian, Jie; Yin, Hong; Qin, Wei
• Is Part Of: Neuroscience. Volume 365(2017)
• Page Start: 206
• Page End: 216
• Publication Date: 2017-12-04
• Subjects: DTI diffusion tensor imaging -- FA fractional anisotropy -- PVT psychomotor vigilance test -- RTs reaction times -- RW rested wakefulness -- SD sleep deprivation -- WM white matter; sleep deprivation -- cognitive instability -- individual difference -- diffusion tensor imaging -- psychomotor vigilance test; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2017.09.047
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Significantly negative correlations were found between the number of lapse and white matter FA values. About 37.5% individual variability in number of PVT lapse can be explained by the FA variations in two WM tracts. The two most representative tracts are superior longitudinal fasciculus and splenium of the corpus callosum. The findings strongly strengthen the fact that cognitive instability after SD is closely associated with WM integrity. Abstract: Several diseases are characterized by cognitive instability, which is amplified in the conditions of sleep deprivation (SD). Cognitive instability in SD can be examined by the number of lapses on the psychomotor vigilance test (PVT), which is considered to be a gold standard in the field. However, the number of PVT lapses widely range according to inter-individual differences, from apparent cognitive resistance to severe cognitive impairment. In this study, tract-based spatial statistical analyses with multiple diffusion tensor imaging-derived characteristics (i.e., fractional anisotropy (FA), mean diffusivity, radial diffusivity, and axial diffusivity) were employed to investigate the relationships between the number of PVT lapses and the diffusion characteristics. A hierarchical linear regression model was then used to assess the contributions of tract-specific FA values in predicting PVT lapses. Finally, dichotomized analysis was used to investigate white matter (WM) differences between resilient and vulnerable groups. Our results showed significant negative correlations between numbers of PVT lapses and FA in multiple WM tracts, with the FA variations in the superior longitudinal fasciculus and splenium of the corpus callosum accounting for nearly 37.5% of individual variability in PVT lapses. In addition, dichotomized analyses indicated that the resilient participants exhibited significantly higher FA values compared with the vulnerable participants. Together, these findings suggest that cognitive instability after SD was closely associated with individual differences in WM integrity.