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CORRECTION article

Front. Neurosci., 25 May 2023
Sec. Neural Technology
Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1221328

Corrigendum: Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics

This article is a correction to:

  1. Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics

    1. Read original article
\r\nXiaojie Lu,Xiaojie Lu1,2Tingting WangTingting Wang2Mingquan YeMingquan Ye2Shoufang HuangShoufang Huang1Maosheng WangMaosheng Wang1Jiqian Zhang Jiqian Zhang1*
  • 1School of Physics and Electronic Information, Anhui Normal University, Wuhu, China
  • 2Research Center of Health Big Data Mining and Applications, School of Medicine Information, Wan Nan Medical College, Wuhu, China

A corrigendum on
Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics

by Lu, X., Wang, T., Ye, M., Huang, S., Wang, M., and Zhang, J. (2023). Front. Neurosci. 17: 1117340, 2023. doi: 10.3389/fnins.2023.1117340

Incorrect Funding

In the published article, there was an error in the Funding statement. The Key Research and Development Plan of Anhui Province, China (NO. 2022a05020011), the University Synergy Innovation Program of Anhui Province, China (NO. GXXT-2022-044), the Excellent Scientific Research Innovation Team Project of Universities in Anhui Province, China (NO. 2022AH010075), and the Academic Support Project for Top-notch Talents in Disciplines (Majors) of Universities in Anhui Province, China (NO. gxbjZD2022042). The correct Funding statement appears below.

Funding

This study was funded by the project of University Natural Science Research Project of Anhui Province (No. KJ2020A0618), the project of Academic and technical leaders candidate of Anhui Province (No. 2022H286), the Natural Science Foundation of Anhui Province, China (No. 1908085MA25), the Key Research and Development Plan of Anhui Province, China (No. 2022a05020011), the University Synergy Innovation Program of Anhui Province, China (No. GXXT-2022-044), the Excellent Scientific Research Innovation Team Project of Universities in Anhui Province, China (No. 2022AH010075), and the Academic Support Project for Top-notch Talents in Disciplines (Majors) of Universities in Anhui Province, China (No. gxbjZD2022042).

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: Hilbert-Huang transform, CNN, symbolic transfer entropy, brain network, Kuramoto model

Citation: Lu X, Wang T, Ye M, Huang S, Wang M and Zhang J (2023) Corrigendum: Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics. Front. Neurosci. 17:1221328. doi: 10.3389/fnins.2023.1221328

Received: 12 May 2023; Accepted: 15 May 2023;
Published: 25 May 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Lu, Wang, Ye, Huang, Wang and Zhang. 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: Jiqian Zhang, emhhbmdjZGMmI3gwMDA0MDthaG51LmVkdS5jbg==

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.