Cargando…

The Small World of Psychopathology

BACKGROUND: Mental disorders are highly comorbid: people having one disorder are likely to have another as well. We explain empirical comorbidity patterns based on a network model of psychiatric symptoms, derived from an analysis of symptom overlap in the Diagnostic and Statistical Manual of Mental...

Descripción completa

Detalles Bibliográficos
Autores principales: Borsboom, Denny, Cramer, Angélique O. J., Schmittmann, Verena D., Epskamp, Sacha, Waldorp, Lourens J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219664/
https://www.ncbi.nlm.nih.gov/pubmed/22114671
http://dx.doi.org/10.1371/journal.pone.0027407
_version_ 1782216872132870144
author Borsboom, Denny
Cramer, Angélique O. J.
Schmittmann, Verena D.
Epskamp, Sacha
Waldorp, Lourens J.
author_facet Borsboom, Denny
Cramer, Angélique O. J.
Schmittmann, Verena D.
Epskamp, Sacha
Waldorp, Lourens J.
author_sort Borsboom, Denny
collection PubMed
description BACKGROUND: Mental disorders are highly comorbid: people having one disorder are likely to have another as well. We explain empirical comorbidity patterns based on a network model of psychiatric symptoms, derived from an analysis of symptom overlap in the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV). PRINCIPAL FINDINGS: We show that a) half of the symptoms in the DSM-IV network are connected, b) the architecture of these connections conforms to a small world structure, featuring a high degree of clustering but a short average path length, and c) distances between disorders in this structure predict empirical comorbidity rates. Network simulations of Major Depressive Episode and Generalized Anxiety Disorder show that the model faithfully reproduces empirical population statistics for these disorders. CONCLUSIONS: In the network model, mental disorders are inherently complex. This explains the limited successes of genetic, neuroscientific, and etiological approaches to unravel their causes. We outline a psychosystems approach to investigate the structure and dynamics of mental disorders.
format Online
Article
Text
id pubmed-3219664
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-32196642011-11-23 The Small World of Psychopathology Borsboom, Denny Cramer, Angélique O. J. Schmittmann, Verena D. Epskamp, Sacha Waldorp, Lourens J. PLoS One Research Article BACKGROUND: Mental disorders are highly comorbid: people having one disorder are likely to have another as well. We explain empirical comorbidity patterns based on a network model of psychiatric symptoms, derived from an analysis of symptom overlap in the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV). PRINCIPAL FINDINGS: We show that a) half of the symptoms in the DSM-IV network are connected, b) the architecture of these connections conforms to a small world structure, featuring a high degree of clustering but a short average path length, and c) distances between disorders in this structure predict empirical comorbidity rates. Network simulations of Major Depressive Episode and Generalized Anxiety Disorder show that the model faithfully reproduces empirical population statistics for these disorders. CONCLUSIONS: In the network model, mental disorders are inherently complex. This explains the limited successes of genetic, neuroscientific, and etiological approaches to unravel their causes. We outline a psychosystems approach to investigate the structure and dynamics of mental disorders. Public Library of Science 2011-11-17 /pmc/articles/PMC3219664/ /pubmed/22114671 http://dx.doi.org/10.1371/journal.pone.0027407 Text en Borsboom et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Borsboom, Denny
Cramer, Angélique O. J.
Schmittmann, Verena D.
Epskamp, Sacha
Waldorp, Lourens J.
The Small World of Psychopathology
title The Small World of Psychopathology
title_full The Small World of Psychopathology
title_fullStr The Small World of Psychopathology
title_full_unstemmed The Small World of Psychopathology
title_short The Small World of Psychopathology
title_sort small world of psychopathology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219664/
https://www.ncbi.nlm.nih.gov/pubmed/22114671
http://dx.doi.org/10.1371/journal.pone.0027407
work_keys_str_mv AT borsboomdenny thesmallworldofpsychopathology
AT cramerangeliqueoj thesmallworldofpsychopathology
AT schmittmannverenad thesmallworldofpsychopathology
AT epskampsacha thesmallworldofpsychopathology
AT waldorplourensj thesmallworldofpsychopathology
AT borsboomdenny smallworldofpsychopathology
AT cramerangeliqueoj smallworldofpsychopathology
AT schmittmannverenad smallworldofpsychopathology
AT epskampsacha smallworldofpsychopathology
AT waldorplourensj smallworldofpsychopathology