Frontiers in Neuroscience (Jun 2022)
Corrigendum: Classifying Vulnerability to Sleep Deprivation Using Resting-State Functional MRI Graph Theory Metrics
- Yongqiang Xu,
- Ping Yu,
- Jianmin Zheng,
- Chen Wang,
- Tian Hu,
- Qi Yang,
- Ziliang Xu,
- Fan Guo,
- Xing Tang,
- Fang Ren,
- Yuanqiang Zhu
Affiliations
- Yongqiang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Ping Yu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Jianmin Zheng
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Chen Wang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Tian Hu
- Department of Radiology, Yan'an University Affiliated Hospital, Yan'an, China
- Qi Yang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, China
- Ziliang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Fan Guo
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Xing Tang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Fang Ren
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Yuanqiang Zhu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- DOI
- https://doi.org/10.3389/fnins.2022.923418
- Journal volume & issue
-
Vol. 16
Abstract
No abstracts available.Keywords
- sleep deprivation
- vulnerability
- functional magnetic resonance imaging
- machine learning
- psychomotor vigilance task
