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Articles Published Processes
11/7/2024 8:33:31 AM | Browse: 154 | Download: 834
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Received |
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2024-05-26 07:07 |
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Peer-Review Started |
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2024-05-26 07:07 |
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First Decision by Editorial Office Director |
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2024-09-30 09:53 |
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Return for Revision |
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2024-09-30 09:53 |
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Revised |
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2024-10-09 14:52 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-10-30 02:37 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-10-30 13:20 |
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Articles in Press |
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2024-10-30 13:20 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-11-01 03:28 |
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Publish the Manuscript Online |
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2024-11-07 08:33 |
| 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/ |
| Copyright |
© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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
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| 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 |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2024-11-07 08:33 |
| 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 |
| URL |
https://www.wjgnet.com/2220-3206/full/v14/i11/1696.htm |
| DOI |
https://dx.doi.org/10.5498/wjp.v14.i11.1696 |
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