In the published article, there was an error in the Funding statement. The correct Funding and Acknowledgment statements appear below.
Statements
Funding
This research was supported by the Ministry of Education, Malaysia under the Higher Institute Center of Excellence (HiCOE) scheme awarded to the Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS.
Acknowledgments
Researchers would like to thank the Deanship of Scientific Research, Qassim University for funding the publication of this project. Researchers also would like to thank the Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS for their support by providing EEG data.
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.
Summary
Keywords
EEG, graph theory analysis, social anxiety disorders, machine learning, effective connectivity, partial directed coherence, support vector machine, event related potential
Citation
Al-Ezzi A, Kamel N, Al-Shargabi AA, Al-Shargie F, Al-Shargabi A, Yahya N and Al-Hiyali MI (2023) Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures. Front. Psychiatry 14:1257713. doi: 10.3389/fpsyt.2023.1257713
Received
12 July 2023
Accepted
13 July 2023
Published
24 July 2023
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
14 - 2023
Updates
Copyright
© 2023 Al-Ezzi, Kamel, Al-Shargabi, Al-Shargie, Al-Shargabi, Yahya and Al-Hiyali.
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: Nidal Kamel nidal.k@vinuni.edu.vnAmal A. Al-Shargabi alshargabi@qu.edu.saNorashikin Yahya norashikin_yahya@utp.edu.my
†ORCID: Nidal Kamel orcid.org/0000-0002-9638-6379
Alaa Al-Shargabi orcid.org/0000-0001-6454-5913
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.