Classifying Vulnerability to Sleep Deprivation Using Resting-State Functional MRI Graph Theory Metrics

Classifying Vulnerability to Sleep Deprivation Using Resting-State Functional MRI Graph Theory Metrics

Sleep deprivation (SD) has become very common in contemporary society, where people work around the clock. SD-induced cognitive deficits show large inter-individual differences and are trait-like with known neural correlates. However, few studies have used neuroimaging to predict vulnerability to SD...

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Bibliographic Details
Main Authors: Yongqiang Xu, Ping Yu, Jianmin Zheng, Chen Wang, Tian Hu, Qi Yang, Ziliang Xu, Fan Guo, Xing Tang, Fang Ren, Minwen Zheng, Yuanqiang Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neuroscience
Subjects:
sleep deprivation
vulnerability
functional magnetic resonance imaging
machine learning
psychomotor vigilance task
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.660365/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.660365/full

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