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Publication Name World Journal of Psychiatry
Manuscript ID 97212
Country China
Category Clinical Neurology
Manuscript Type Observational Study
Article Title Resting-state functional magnetic resonance imaging and support vector machines for the diagnosis of major depressive disorder in adolescents
Manuscript Source Invited Manuscript
All Author List Zhi-Hui Yu, Ren-Qiang Yu, Xing-Yu Wang, Wen-Yu Ren, Xiao-Qin Zhang, Wei Wu, Xiao Li, Lin-Qi Dai and Ya-Lan Lv
Funding Agency and Grant Number
Corresponding Author Ren-Qiang Yu, PhD, Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China. yurenqiang@hospital.cqmu.edu.cn
Key Words Major depressive disorder; Adolescent; Support vector machine; Machine learning; Resting-state functional magnetic resonance imaging; Neuroimaging; Biomarker
Core Tip We want to explore the potential neuroimaging biomarkers of adolescents with major depressive disorder using resting-state functional magnetic resonance imaging and support vector machines. The results showed that using the abnormal functional connectivity value of the right linguistic gyrus as a biomarker to distinguish patients and healthy controls had certain advantages, which was of great significance for the early diagnosis and treatment of adolescent major depressive disorder.
Citation

Yu ZH, Yu RQ, Wang XY, Ren WY, Zhang XQ, Wu W, Li X, Dai LQ, Lv YL. Resting-state functional magnetic resonance imaging and support vector machines for the diagnosis of major depressive disorder in adolescents. World J Psychiatry 2024; 14(11): 1696-1707

Received
2024-05-26 07:07
Peer-Review Started
2024-05-26 07:07
First Decision by Editorial Office Director
2024-09-30 09:53
Return for Revision
2024-09-30 09:53
Revised
2024-10-09 14:52
Publication Fee Transferred
Second Decision by Editor
2024-10-30 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2024-10-30 13:20
Articles in Press
2024-10-30 13:20
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-11-01 03:28
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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