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Articles Published Processes
5/18/2022 6:40:21 AM | Browse: 457 | Download: 946
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Received |
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2021-07-11 07:09 |
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Peer-Review Started |
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2021-07-11 07:15 |
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To Make the First Decision |
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Return for Revision |
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2021-10-04 00:50 |
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Revised |
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2021-10-07 07:48 |
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Second Decision |
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2022-04-21 02:25 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-04-26 05:34 |
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Articles in Press |
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2022-04-26 05:34 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-04-04 22:28 |
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Typeset the Manuscript |
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2022-04-28 08:03 |
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Publish the Manuscript Online |
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2022-05-18 06:40 |
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/ |
Copyright |
© The Author(s) 2022. 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 |
Neurosciences |
Manuscript Type |
Opinion Review |
Article Title |
False dogmas in mood disorders research: Towards a nomothetic network approach
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Manuscript Source |
Invited Manuscript |
All Author List |
Michael HJ Maes and Drozdstoy Stoyanov |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Ratchadapiseksompotch Funds, Faculty of Medicine, Chulalongkorn University |
RA61/050 |
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Corresponding Author |
Michael HJ Maes, PhD, Professor, Department of Psychiatry, Chulalongkorn University, Rama IV, Bangkok 10330, Thailand. dr.michaelmaes@hotmail.com |
Key Words |
Nomothetic network psychiatry; Depression; Mood disorders; Affective disorders; Inflammation; Oxidative and nitrosative stress; Neuro-immune |
Core Tip |
We review the merits of machine learning-derived nomothetic network psychiatry (NNP) models of mood disorders. The NNP models of mood disorders show that major depressive disorder/bipolar disorder are not mind-brain or psycho-social but systemic medical disorders. The DSM/ICD taxonomies are counterproductive. A shared core, namely the reoccurrence of illness (ROI), underpins the intertwined recurrence of depressive and manic episodes and suicidal behaviors. Mood disorders should be ROI-defined. ROI mediates the effects of nitro-oxidative stress pathways and early lifetime trauma on the phenome of mood disorders. Severity of illness and treatment response should be delineated using NNP-derived causome, adverse outcome pathways, ROI and phenome scores. |
Publish Date |
2022-05-18 06:40 |
Citation |
Maes MH, Stoyanov D. False dogmas in mood disorders research: Towards a nomothetic network approach. World J Psychiatry 2022; 12(5): 651-667 |
URL |
https://www.wjgnet.com/2220-3206/full/v12/i5/651.htm |
DOI |
https://dx.doi.org/10.5498/wjp.v12.i5.651 |
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