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CORRECTION article

Front. Neurosci.
Sec. Brain Imaging Methods
Volume 18 - 2024 | doi: 10.3389/fnins.2024.1480497

Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics

Provisionally accepted
Mingyang Liu Mingyang Liu 1Weibo Yu Weibo Yu 1Dandan Xu Dandan Xu 2Miaoyan Wang Miaoyan Wang 2Bo Peng Bo Peng 3*Haoxiang Jiang Haoxiang Jiang 2Yakang Dai Yakang Dai 3
  • 1 School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, China
  • 2 Department of Radiology, Affiliated Children’s Hospital of Jiangnan University, Wuxi, Liaoning Province, China
  • 3 Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences (CAS), Suzhou, China

The final, formatted version of the article will be published soon.

    Keywords: Autism Spectrum Disorder, T1-weighted MRI, ASL, gray matter network, cerebral blood flow network, machine learning

    Received: 14 Aug 2024; Accepted: 30 Aug 2024.

    Copyright: © 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) or licensor 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, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences (CAS), Suzhou, China

    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.