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5/18/2022 7:54:34 AM | Browse: 268 | Download: 659
Publication Name World Journal of Psychiatry
Manuscript ID 69758
Country Thailand
Received
2021-07-11 07:09
Peer-Review Started
2021-07-11 07:15
To Make the First Decision
Return for Revision
2021-10-04 00:50
Revised
2021-10-07 07:48
Second Decision
2022-04-21 02:25
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2022-04-26 05:34
Articles in Press
2022-04-26 05:34
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-04-04 22:28
Typeset the Manuscript
2022-04-28 08:03
Publish the Manuscript Online
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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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
Manuscript Source Invited Manuscript
All Author List Michael HJ Maes and Drozdstoy Stoyanov
Funding Agency and Grant Number
Funding Agency Grant Number
Ratchadapiseksompotch Funds, Faculty of Medicine, Chulalongkorn University RA61/050
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
Full Article (PDF) WJP-12-651.pdf
Full Article (Word) WJP-12-651.docx
Manuscript File 69758_Auto_Edited_LM.docx
Answering Reviewers 69758-Answering reviewers.pdf
Audio Core Tip 69758-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 69758-Conflict-of-interest statement.pdf
Copyright License Agreement 69758-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 69758-Grant application form(s).pdf
Peer-review Report 69758-Peer-review(s).pdf
Scientific Misconduct Check 69758-Bing-Wang JJ-2.png
Scientific Editor Work List 69758-Scientific editor work list.pdf
CrossCheck Report 69758-CrossCheck report.pdf