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CORRECTION article
Front. Neurosci. , 16 September 2024
Sec. Brain Imaging Methods
Volume 18 - 2024 | https://doi.org/10.3389/fnins.2024.1480497
This article is a correction to:
Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy
A Corrigendum on
Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics
by Liu, M., Yu, W., Xu, D., Wang, M., Peng, B., Jiang, H., and Dai, Y. (2024). Front. Neurosci. 18:1356241. doi: 10.3389/fnins.2024.1356241
In the published article, there was an error in the affiliation for Haoxiang Jiang. Instead of having affiliation 1, “School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, China,” it should be affiliation 2, “Department of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi, 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.
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: autism spectrum disorder, T1-weighted MRI, ASL, gray matter network, cerebral blood flow network, machine learning
Citation: Liu M, Yu W, Xu D, Wang M, Peng B, Jiang H and Dai Y (2024) Corrigendum: Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics. Front. Neurosci. 18:1480497. doi: 10.3389/fnins.2024.1480497
Received: 14 August 2024; Accepted: 30 August 2024;
Published: 16 September 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Liu, Yu, Xu, Wang, Peng, Jiang and Dai. 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: Bo Peng, cGVuZ2JvQHNpYmV0LmFjLmNu; Haoxiang Jiang, d3lzaHpsQDEyNi5jb20=; Yakang Dai, ZGFpeWtAc2liZXQuYWMuY24=
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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