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

Front Neurosci. 2022 Jun 24:16:923418. doi: 10.3389/fnins.2022.923418. eCollection 2022.

Authors

Yongqiang Xu¹, Ping Yu², Jianmin Zheng¹, Chen Wang¹, Tian Hu³, Qi Yang⁴, Ziliang Xu¹, Fan Guo¹, Xing Tang¹, Fang Ren¹, Yuanqiang Zhu¹

Affiliations

¹ Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
² Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
³ Department of Radiology, Yan'an University Affiliated Hospital, Yan'an, China.
⁴ Department of Radiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, China.

Abstract

[This corrects the article DOI: 10.3389/fnins.2021.660365.].

Keywords: functional magnetic resonance imaging; machine learning; psychomotor vigilance task; sleep deprivation; vulnerability.

Copyright © 2022 Xu, Yu, Zheng, Wang, Hu, Yang, Xu, Guo, Tang, Ren and Zhu.

Publication types

Published Erratum