Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy
CORRECTION article
Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics
Provisionally accepted- 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
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
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