Individual prediction of hemispheric similarity of functional connectivity during normal aging
A corrigendum on
Individual prediction of hemispheric similarity of functional connectivity during normal aging
by Zhang, Y. (2022). Front. Psychiatry 13:1016807. doi: 10.3389/fpsyt.2022.1016807
In the published article, there was an error in the affiliation of “Yingteng Zhang”. Instead of “Department of Mathematics, Taizhou University, Taizhou, China,” it should be “Department of Mathematics, Taizhou University, Jiangsu Province, Taizhou, China”.
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: hemispheric similarity of functional connectivity, functional MRI, normal aging, individual recognition, global signal
Citation: Zhang Y (2022) Corrigendum: Individual prediction of hemispheric similarity of functional connectivity during normal aging. Front. Psychiatry 13:1035694. doi: 10.3389/fpsyt.2022.1035694
Received: 03 September 2022; Accepted: 29 September 2022;
Published: 19 October 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Zhang. 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: Yingteng Zhang, eGlhb3RlbmcyOCYjeDAwMDQwOzE2My5jb20=