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1/11/2021 12:54:51 PM | Browse: 28 | Download: 47
Publication Name World Journal of Psychiatry
Manuscript ID 61111
Country/Territory Bulgaria
2020-11-24 08:46
Peer-Review Started
2020-11-24 08:47
To Make the First Decision
Return for Revision
2020-12-12 20:52
2020-12-15 10:49
Second Decision
2020-12-24 10:29
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-12-27 05:15
Articles in Press
2020-12-27 05:15
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-01-05 11:00
Publish the Manuscript Online
2021-01-11 11:00
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) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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 How to construct neuroscience-informed psychiatric classification? Towards nomothetic networks psychiatry
Manuscript Source Invited Manuscript
All Author List Drozdstoy Stoyanov and Michael HJ Maes
Funding Agency and Grant Number
Corresponding Author Drozdstoy Stoyanov, DSc, MD, PhD, Full Professor, Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Vassil Aprilov 15a, Plovdiv 4000, Bulgaria. drozdstoy.stoyanov@mu-plovdiv.bg
Key Words Psychiatry; Major depression; Mood disorders; Schizophrenia; Antioxidants; Oxydative stress
Core Tip The nomothetic network psychiatry approach is a new method which aims to construct causal models of schizophrenia and mood disorders by integrating all features of those mental illnesses into a data-driven model. These features comprise data on risk-resilience, adverse outcome pathways, the cognitome, brainome, symptomatome, staging, and the phenomenome. Partial Least Squares analysis may be employed to train, test, and validate those models and to build pathway-phenotypes or biosignatures. Clustering analysis performed on all illness features, reduced into latent traits scores, may expose relevant new transdiagnostic classes.
Publish Date 2021-01-11 11:00
Citation Stoyanov D, Maes MH. How to construct neuroscience-informed psychiatric classification? Towards nomothetic networks psychiatry. World J Psychiatr 2021; 11(1): 1-12
Url https://www.wjgnet.com/2220-3206/full/v11/i1/1.htm
DOI https://dx.doi.org/10.5498/wjp.v11.i1.1
Full Article (PDF) WJP-11-1.pdf
Full Article (Word) WJP-11-1.docx
Manuscript File 61111_Auto_Edited.docx
Answering Reviewers 61111-Answering reviewers.pdf
Audio Core Tip 61111-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 61111-Conflict-of-interest statement.pdf
Copyright License Agreement 61111-Copyright license agreement.pdf
Peer-review Report 61111-Peer-review(s).pdf
Scientific Misconduct Check 61111-Bing-Gao CC-1.jpg
Scientific Misconduct Check 61111-Scientific misconduct check.pdf
Scientific Editor Work List 61111-Scientific editor work list.pdf