Network Analysis of Psychopathology: Controversies and Challenges.

Bayesian networks diagnosis multivariate time series network analysis psychopathology

Journal

Annual review of clinical psychology
ISSN: 1548-5951
Titre abrégé: Annu Rev Clin Psychol
Pays: United States
ID NLM: 101235325

Informations de publication

Date de publication:
07 05 2021
Historique:
pubmed: 25 11 2020
medline: 26 10 2021
entrez: 24 11 2020
Statut: ppublish

Résumé

Empirical publications inspired by the network approach to psychopathology have increased exponentially in the twenty-first century. The central idea that an episode of mental disorder arises from causal interactions among its symptomatic elements has especially resonated with those clinical scientists whose disenchantment with traditional categorical and dimensional approaches to mental illness has become all too apparent. As the field has matured, conceptual and statistical concerns about the limitations of network approaches to psychopathology have emerged, inspiring the development of novel methods to address these concerns. Rather than reviewing the vast empirical literature, I focus instead on the issues and controversies regarding this approach and sketch directions where the field might go next.

Identifiants

pubmed: 33228401
doi: 10.1146/annurev-clinpsy-081219-092850
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

31-53

Auteurs

Richard J McNally (RJ)

Department of Psychology, Harvard University, Cambridge, Massachusetts 02138, USA; email: rjm@wjh.harvard.edu.

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Classifications MeSH