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CORRECTION article

Front. Neurosci., 06 June 2023
Sec. Translational Neuroscience
Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1228322

Corrigendum: Discriminative analysis of schizophrenia patients using graph convolutional networks: a combined multimodal MRI and connectomics analysis

This article is a correction to:

  1. Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis

    1. Read original article
\r\nXiaoyi Chen&#x;Xiaoyi Chen1†Pengfei Ke&#x;Pengfei Ke1†Yuanyuan Huang,Yuanyuan Huang2,3Jing Zhou,,Jing Zhou4,5,6Hehua Li,Hehua Li2,3Runlin PengRunlin Peng1Jiayuan HuangJiayuan Huang1Liqin LiangLiqin Liang1Guolin MaGuolin Ma7Xiaobo LiXiaobo Li8Yuping Ning,Yuping Ning3,9Fengchun Wu Fengchun Wu10*Kai Wu,,, Kai Wu1,5,6,11*
  • 1Department of Biomedical Engineering, School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
  • 2Department of Emotional Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
  • 3Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
  • 4School of Material Science and Engineering, South China University of Technology, Guangzhou, China
  • 5National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
  • 6Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, China
  • 7Department of Radiology, China-Japan Friendship Hospital, Beijing, China
  • 8Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
  • 9Department of Psychosomatic, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
  • 10Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
  • 11Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan

A corrigendum on
Discriminative analysis of schizophrenia patients using graph convolutional networks: a combined multimodal MRI and connectomics analysis

by Chen, X., Ke, P., Huang, Y., Zhou, J., Li, H., Peng, R., Huang, J., Liang, L., Ma, G., Li, X., Ning, Y., Wu, F., and Wu, K. (2023) Front. Neurosci. 17:1140801. doi: 10.3389/fnins.2023.1140801

Incorrect Author Name

In the published article, an author name was incorrectly written as LiQing Liang. The correct spelling is Liqin Liang.

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: schizophrenia, graph convolutional network, discriminative analysis, human brain connectomics, multimodal MRI

Citation: Chen X, Ke P, Huang Y, Zhou J, Li H, Peng R, Huang J, Liang L, Ma G, Li X, Ning Y, Wu F and Wu K (2023) Corrigendum: Discriminative analysis of schizophrenia patients using graph convolutional networks: a combined multimodal MRI and connectomics analysis. Front. Neurosci. 17:1228322. doi: 10.3389/fnins.2023.1228322

Received: 24 May 2023; Accepted: 25 May 2023;
Published: 06 June 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Chen, Ke, Huang, Zhou, Li, Peng, Huang, Liang, Ma, Li, Ning, Wu and Wu. 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: Fengchun Wu, 13580380071@163.com; Kai Wu, kaiwu@scut.edu.cn

†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.