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CORRECTION article

Front. Syst. Neurosci., 07 October 2025

Volume 19 - 2025 | https://doi.org/10.3389/fnsys.2025.1708544

This article is part of the Research TopicUnderstanding Neural Processing as an Integrated Intelligent SystemView all 5 articles

Correction: Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group

This article is a correction to:

  1. Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group

    1. Read original article
Shabbir Chowdhury,Shabbir Chowdhury1,2Ahmed Munis Alanazi,Ahmed Munis Alanazi1,2Eyad Talal Attar, Eyad Talal Attar1,2*
  • 1Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
  • 2Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, Saudi Arabia

A Correction on
Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group

by Chowdhury, S., Munis Alanazi, A., and Talal Attar, E. (2025). Front. Syst. Neurosci. 19:1611293. doi: 10.3389/fnsys.2025.1611293

In the published article, in the Funding section, an incorrect Funding statement was erroneously provided. Instead of the incorrect grant number “(IPP:948-135-2025)”, it should have been written as “(IPP:941-135-2025)”. The corrected Funding statement appears below:

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research work was funded by Institutional Fund Projects under grant no. (IPP: 941-135-2025). The author gratefully acknowledges the technical and financial support provided by the Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia.

The original version of this 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: caffeine, EEG, heart rate variability, blood pressure, cortical arousal, beta waves, machine learning, wearable sensors

Citation: Chowdhury S, Munis Alanazi A and Talal Attar E (2025) Correction: Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group. Front. Syst. Neurosci. 19:1708544. doi: 10.3389/fnsys.2025.1708544

Received: 18 September 2025; Accepted: 23 September 2025;
Published: 07 October 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Chowdhury, Munis Alanazi and Talal Attar. 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: Eyad Talal Attar, ZXRhdHRhckBrYXUuZWR1LnNh

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.