Open AccessPredicting Attentional Vulnerability to Sleep Deprivation: A Multivariate Pattern Analysis of DTI Data
Author(s) -
Chen Wang,
Fang Peng,
Ya Li,
Wenxiong Lin,
Hu Tian,
Qi Yang,
Ahram Han,
Yingjuan Chang,
Xing Tang,
Xiuhua Lv,
Zhibo Xu,
Yongqiang Xu,
Leilei Li,
Minwen Zheng,
Yuanqiang Zhu
Publication year - 2022
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s345328
Subject(s) - fractional anisotropy , sleep deprivation , diffusion mri , audiology , neuroimaging , wakefulness , medicine , receiver operating characteristic , artificial intelligence , electroencephalography , cognition , magnetic resonance imaging , psychiatry , computer science , radiology
Large individual differences exist in sleep deprivation (SD) induced sustained attention deterioration. Several brain imaging studies have suggested that the activities within frontal-parietal network, cortico-thalamic connections, and inter-hemispheric connectivity might underlie the neural correlates of vulnerability/resistance to SD. However, those traditional approaches are based on average estimates of differences at the group level. Currently, a neuroimaging marker that can reliably predict this vulnerability at the individual level is lacking.