In the published article, there was an error in the Funding statement. It needed to include the same content as provided in the acknowledgment section. The correct Funding statement appears below.
Statements
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. The authors extend their appreciation to the King Salman Center for Disability Research for funding this work through Research Group no. KSRG-2023-021.
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
Alzheimer's disease, fMRI, DeepLabV3+, Deep Residual U-NET, feature extraction
Citation
Maity R, Raja Sankari VM, Snekhalatha U, Velu S, Alahmadi TJ, Alhababi ZA and Alkahtani HK (2025) Corrigendum: Early detection of Alzheimer's disease in structural and functional MRI. Front. Med. 12:1589447. doi: 10.3389/fmed.2025.1589447
Received
07 March 2025
Accepted
14 March 2025
Published
27 March 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2025
Updates
Copyright
© 2025 Maity, Raja Sankari, Snekhalatha, Velu, Alahmadi, Alhababi and Alkahtani.
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: Umapathy Snekhalatha snehalau@srmist.edu.in
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.