CORRECTION article

Front. Psychiatry, 24 July 2023

Sec. Psychopathology

Volume 14 - 2023 | https://doi.org/10.3389/fpsyt.2023.1257713

Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures

  • 1. Centre for Intelligent Signal & Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia

  • 2. College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam

  • 3. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia

  • 4. Faculty of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates

  • 5. Department of Information Technology, Universiti Teknlogi Malaysia, Skudai, Malaysia

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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

*Correspondence: Nidal Kamel Amal A. Al-Shargabi Norashikin Yahya

†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.

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