This article is a correction to:
Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study
CORRECTION article
Front. Neurosci.
Sec. Neurodevelopment
Volume 18 - 2024 |
doi: 10.3389/fnins.2024.1501782
Corrigendum: Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study
Provisionally accepted
Si Yang Ke
1*
Huiwen Wu
2*
Haoqi Sun
3
Aiqin Zhou
2*
Jianhua Liu
4*
Xiaoyun Zheng
2*
Kevin Liu
5
Michael Westover
1*
Haiqing Xu
2*
Xue-jun Kong
6,7*- 1 Massachusetts General Hospital, Harvard Medical School, Boston, United States
- 2 Hubei Maternal and Child Health Hospital, Wuhan, Hubei Province, China
- 3 Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States
- 4 Huangshi Maternity and Child Health Care Hospital, Huangshi, Hubei, China
- 5 Department of Biomedical Informatics, Harvard Medical School, Boston, United States
- 6 Anthinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States
- 7 Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States
The final, formatted version of the article will be published soon.
Corrigendum on: Ke SY, Wu H, Sun H, Zhou A, Liu J, Zheng X, Liu K, Westover MB*, Xu H, Kong XJ*. Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study. Front Neurosci. 2024 Jan 25;18:1330556. doi: 10.3389/fnins.2024.1330556. PMID: 38332856; PMCID: PMC10850305. *co-senior authors. Missing Disclosure Statement In the published article Dr. Westover’s disclosure statement was inadvertently omitted. The disclosure should read: "Dr. M. Brandon Westover has private equity as co-founder of Beacon Biosignals and receives compensation for consulting and scientific advisory roles. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.” The authors apologize for this omission and state that this does not change the scientific conclusions of the article in any way.
Keywords: Autism Spectrum Disorder, Electroencephalography, machine learning, spectral power, functional connectivity, coherence
Received: 16 Oct 2024; Accepted: 16 Oct 2024.
Copyright: © 2024 Ke, Wu, Sun, Zhou, Liu, Zheng, Liu, Westover, Xu and Kong. 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:
Si Yang Ke, Massachusetts General Hospital, Harvard Medical School, Boston, United States
Huiwen Wu, Hubei Maternal and Child Health Hospital, Wuhan, 430070, Hubei Province, China
Aiqin Zhou, Hubei Maternal and Child Health Hospital, Wuhan, 430070, Hubei Province, China
Jianhua Liu, Huangshi Maternity and Child Health Care Hospital, Huangshi, Hubei, China
Xiaoyun Zheng, Hubei Maternal and Child Health Hospital, Wuhan, 430070, Hubei Province, China
Michael Westover, Massachusetts General Hospital, Harvard Medical School, Boston, United States
Haiqing Xu, Hubei Maternal and Child Health Hospital, Wuhan, 430070, Hubei Province, China
Xue-jun Kong, Anthinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States
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