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CORRECTION article

Front. Neurosci., 24 June 2022
Sec. Sleep and Circadian Rhythms
Volume 16 - 2022 | https://doi.org/10.3389/fnins.2022.923418

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

This article is a correction to:

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

    1. Read original article
\nYongqiang Xu&#x;Yongqiang Xu1†Ping Yu&#x;Ping Yu2†Jianmin Zheng&#x;Jianmin Zheng1†Chen WangChen Wang1Tian HuTian Hu3Qi YangQi Yang4Ziliang XuZiliang Xu1Fan GuoFan Guo1Xing TangXing Tang1Fang RenFang Ren1Yuanqiang Zhu Yuanqiang Zhu1*
  • 1Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
  • 2Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • 3Department of Radiology, Yan'an University Affiliated Hospital, Yan'an, China
  • 4Department of Radiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, China

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

by Xu, Y., Yu, P., Zheng, J., Wang, C., Hu, T., Yang, Q., Xu, Z., Guo, F., Tang, X., Ren, F., and Zhu, Y. (2021). Front. Neurosci. 15:660365. doi: 10.3389/fnins.2021.660365

“Minwen Zheng” was mistakenly included as an author in the published article. The contribution of this author was removed from the published article. The corrected “Author Contributions” statement appears below.

Author Contributions

YX, PY, and JZ performed all data analysis and wrote the manuscript. YZ raised the conception of the study. XT, CW, and FR contributed to the collection of MRI data. ZX, TH, QY, and FG contributed to the manuscript revision. All authors read and approved the submitted version.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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

Citation: Xu Y, Yu P, Zheng J, Wang C, Hu T, Yang Q, Xu Z, Guo F, Tang X, Ren F and Zhu Y (2022) Corrigendum: Classifying Vulnerability to Sleep Deprivation Using Resting-State Functional MRI Graph Theory Metrics. Front. Neurosci. 16:923418. doi: 10.3389/fnins.2022.923418

Received: 19 April 2022; Accepted: 12 May 2022;
Published: 24 June 2022.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2022 Xu, Yu, Zheng, Wang, Hu, Yang, Xu, Guo, Tang, Ren and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yuanqiang Zhu, zhuyuanqiangchn@gmail.com

†These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.