Publication Name	World Journal of Psychiatry
Manuscript ID	107725
Country	China

Received	2025-04-01 15:35
Peer-Review Started	2025-04-02 00:41
To Make the First Decision
Return for Revision	2025-04-08 13:10
Revised	2025-04-22 14:04
Second Decision	2025-06-12 02:45
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-12 03:50
Articles in Press	2025-06-12 03:50
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-07-22 02:39
Publish the Manuscript Online	2025-08-08 10:23

ISSN	2220-3206 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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Category	Psychiatry
Manuscript Type	Minireviews
Article Title	Portable electroencephalography in early detection of depression: Progress and future directions
Manuscript Source	Invited Manuscript
All Author List	Pan Wang, An-Lu Dai, Xuan-Ru Guo and Hai-Teng Jiang
ORCID	Author(s) ORCID Number Hai-Teng Jiang http://orcid.org/0000-0003-0739-8413
Funding Agency and Grant Number	Funding Agency Grant Number Ministry of Science and Technology of the People’s Republic of China-Major Projects 2022ZD0212400 National Natural Science Foundation of China 82371453
Corresponding Author	Hai-Teng Jiang, Assistant Professor, School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Hangzhou 310058, Zhejiang Province, China. h.jiang@zju.edu.cn
Key Words	Depression; Screening; Portable electroencephalography; Electroencephalography biomarkers; Frontal alpha asymmetry; Brain connectivity; Machine learning
Core Tip	The application of conventional electroencephalography (EEG) in depression screening is limited by high equipment cost, operational complexity, and low clinical applicability. This minireview highlights the current research status of portable EEG in depression screening. Systematic analysis of 45 full-text studies shows portable EEG has significant potential in feature extraction (frequency domain, time domain, time-frequency analysis, nonlinear features, and functional connectivity) and prediction capability at the single-subject level when combined with machine learning. Future studies should focus on algorithm optimization, improving data quality, and promoting clinical implementation of portable EEG for depression screening.
Publish Date	2025-08-08 10:23
Citation	<p>Wang P, Dai AL, Guo XR, Jiang HT. Portable electroencephalography in early detection of depression: Progress and future directions. <i>World J Psychiatry</i> 2025; 15(8): 107725</p>
URL	https://www.wjgnet.com/2220-3206/full/v15/i8/107725.htm
DOI	https://dx.doi.org/10.5498/wjp.v15.i8.107725

Full Article (PDF)	WJP-15-107725-with-cover.pdf
Manuscript File	107725_Auto_Edited_085931.docx
Answering Reviewers	107725-answering-reviewers.pdf
Audio Core Tip	107725-audio.mp3
Conflict-of-Interest Disclosure Form	107725-conflict-of-interest-statement.pdf
Copyright License Agreement	107725-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	107725-foundation-statement.pdf
Non-Native Speakers of English Editing Certificate	107725-non-native-speakers.pdf
Peer-review Report	107725-peer-reviews.pdf
Scientific Misconduct Check	107725-scientific-misconduct-check.png
Scientific Editor Work List	107725-scientific-editor-work-list.pdf
CrossCheck Report	107725-crosscheck-report.pdf