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CORRECTION article

Front. Neurosci., 13 May 2025

Sec. Brain Imaging Methods

Volume 19 - 2025 | https://doi.org/10.3389/fnins.2025.1621212

Corrigendum: ADHD detection from EEG signals using GCN based on multi-domain features

This article is a correction to:

  1. ADHD detection from EEG signals using GCN based on multi-domain features

    1. Read original article
Ling Li&#x;Ling Li1†Xueyang Guo&#x;Xueyang Guo1†Zihan YangZihan Yang1Yanping Zhao Yanping Zhao1*Xu LiuXu Liu1Junxian YangJunxian Yang2Yanyan ChenYanyan Chen3Xinxian PengXinxian Peng3Lina HanLina Han3
  • 1College of Communication Engineering, Jilin University, Changchun, China
  • 2College of Geo-exploration Science and Technology of Jilin University, Changchun, China
  • 3Changchun Sixth Hospital of China, Changchun, China

A Corrigendum on
ADHD detection from EEG signals using GCN based on multi-domain features

by Li, L., Guo, X., Yang, Z., Zhao, Y., Liu, X., Yang, J., Chen, Y., Peng, X., and Han, L. (2025). Front. Neurosci. 19:1561994. doi: 10.3389/fnins.2025.1561994

In the published article, there was an error in the Funding statement. The grant number for the Jilin Province Health and Technology Capacity Enhancement Project (CN) was erroneously displayed as “222Lc132”. The correct Funding statement appears below.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Jilin Scientific and Technological Development Program (CN) (20230204080YY) and the Jilin Province Health and Technology Capacity Enhancement Project (CN) (2022Lc132).

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: ADHD, EEG, brain functional connectivity, multi-domain features, GCN

Citation: Li L, Guo X, Yang Z, Zhao Y, Liu X, Yang J, Chen Y, Peng X and Han L (2025) Corrigendum: ADHD detection from EEG signals using GCN based on multi-domain features. Front. Neurosci. 19:1621212. doi: 10.3389/fnins.2025.1621212

Received: 30 April 2025; Accepted: 01 May 2025;
Published: 13 May 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Li, Guo, Yang, Zhao, Liu, Yang, Chen, Peng and Han. 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: Yanping Zhao, emhhb3lwQGpsdS5lZHUuY24=

†These authors have contributed equally to this work and share first authorship

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.