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CORRECTION article

Front. Neurol., 07 October 2025

Sec. Applied Neuroimaging

Volume 16 - 2025 | https://doi.org/10.3389/fneur.2025.1712929

Correction: A predictive model of Parkinsonian brain aging based on brain imaging features

This article is a correction to:

  1. A predictive model of Parkinsonian brain aging based on brain imaging features

    1. Read original article
Xiaoyan Zhou,,&#x;Xiaoyan Zhou1,2,3†Haoyong Zhu&#x;Haoyong Zhu4†Xiaoming Wang, Xiaoming Wang1,2*Qing Gao Qing Gao4*
  • 1First Clinical Medical College, Jinan University, Guangzhou, China
  • 2Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
  • 3Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
  • 4The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

A Correction on
A predictive model of Parkinsonian brain aging based on brain imaging features

by Zhou, X., Zhu, H., Wang, X., and Gao, Q. (2025). Front. Neurol. 16:1584226. doi: 10.3389/fneur.2025.1584226

In the published article, the statement “These authors have contributed equally to this work” was erroneously not added for authors Xiaoyan Zhou and Haoyong Zhu.

The original version of this 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: machine learning, structure MRI, brain age, Parkinson's disease, shapley additive explanations

Citation: Zhou X, Zhu H, Wang X and Gao Q (2025) Correction: A predictive model of Parkinsonian brain aging based on brain imaging features. Front. Neurol. 16:1712929. doi: 10.3389/fneur.2025.1712929

Received: 25 September 2025; Accepted: 26 September 2025;
Published: 07 October 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Zhou, Zhu, Wang and Gao. 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: Xiaoming Wang, d2FuZ3htMjM4QDE2My5jb20=; Qing Gao, Z2FvcWluZ0B1ZXN0Yy5lZHUuY24=

†These authors have contributed equally to this work

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.