Publication Name	World Journal of Psychiatry
Manuscript ID	100791
Country	China

Received	2024-08-26 10:38
Peer-Review Started	2024-08-26 10:38
To Make the First Decision
Return for Revision	2024-10-28 08:03
Revised	2024-11-04 07:31
Second Decision	2024-11-18 02:41
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-11-18 11:27
Articles in Press	2024-11-18 11:27
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-11-27 08:22
Publish the Manuscript Online	2024-12-18 08:36

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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Psychology, Applied
Manuscript Type	Editorial
Article Title	Development and prospect of near-infrared spectroscopy-assisted schizophrenia diagnosis based on bibliometrics
Manuscript Source	Invited Manuscript
All Author List	Yan Zhang, Hao-Yu Xing and Juan Yan
ORCID	Author(s) ORCID Number Juan Yan http://orcid.org/0000-0002-1865-9909
Funding Agency and Grant Number
Corresponding Author	Juan Yan, Chief Physician, Quality Control Office, The Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, No. 305 Tianmushan Road, Xihu District, Hangzhou 310013, Zhejiang Province, China. 294162939@qq.com
Key Words	Bibliometrics; Schizophrenia; Near-infrared spectroscopy; Diagnostic technique; Data analysis
Core Tip	This manuscript employs bibliometric analysis to investigate the application of near-infrared spectroscopy (NIRS) in the assisted diagnosis of schizophrenia. NIRS, a non-invasively user-friendly functional brain imaging modality, rapidly provides critical biomarker information via high-throughput data acquisition and advanced signal processing algorithms. The findings indicate deep learning and machine learning techniques, including random forests and support vector machines, enhance the accuracy and robustness of NIRS data analysis. Nonetheless, challenges remain in processing large datasets and integrating heterogeneous data sources. Future advancements in equipment, algorithms, and multi-center collaboration are anticipated to further elevate NIRS's clinical utility and reliability in schizophrenia diagnosis.
Publish Date	2024-12-18 08:36
Citation	<p>Zhang Y, Xing HY, Yan J. Development and prospect of near-infrared spectroscopy-assisted schizophrenia diagnosis based on bibliometrics. <i>World J Psychiatry</i> 2025; 15(1): 100791</p>
URL	https://www.wjgnet.com/2220-3206/full/v15/i1/100791.htm
DOI	https://dx.doi.org/10.5498/wjp.v15.i1.100791

Full Article (PDF)	WJP-15-100791-with-cover.pdf
Manuscript File	100791_Auto_Edited_030631.docx
Answering Reviewers	100791-answering-reviewers.pdf
Audio Core Tip	100791-audio.m4a
Conflict-of-Interest Disclosure Form	100791-conflict-of-interest-statement.pdf
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Non-Native Speakers of English Editing Certificate	100791-non-native-speakers.pdf
Peer-review Report	100791-peer-reviews.pdf
Scientific Misconduct Check	100791-scientific-misconduct-check.png
Scientific Editor Work List	100791-scientific-editor-work-list.pdf
CrossCheck Report	100791-crosscheck-report.pdf