The Differential Role of Central and Bridge Symptoms in Deactivating Psychopathological Networks.

bridge symptoms central symptoms network analysis psychopathology vulnerability

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2019
Historique:
received: 29 01 2019
accepted: 15 10 2019
entrez: 13 12 2019
pubmed: 13 12 2019
medline: 13 12 2019
Statut: epublish

Résumé

The network model of psychopathology suggests that central and bridge symptoms represent promising treatment targets because they may accelerate the deactivation of the network of interactions between the symptoms of mental disorders. However, the evidence confirming this hypothesis is scarce. This study re-analyzed a convenience sample of 51 cross-sectional psychopathological networks published in previous studies addressing diverse mental disorders or clinically relevant problems. In order to address the hypothesis that central and bridge symptoms are valuable treatment targets, this study simulated five distinct attack conditions on the psychopathological networks by deactivating symptoms based on two characteristics of central symptoms (degree and strength), two characteristics of bridge symptoms (overlap and bridgeness), and at random. The differential impact of the characteristics of these symptoms was assessed in terms of the magnitude and the extent of the attack required to achieve a maximum impact on the number of components, average path length, and connectivity. Only moderate evidence was obtained to sustain the hypothesis that central and bridge symptoms constitute preferential treatment targets. The results suggest that the degree, strength, and bridgeness attack conditions are more effective than the random attack condition only in increasing the number of components of the psychopathological networks. The degree attack condition seemed to perform better than the strength, bridgeness, and overlap attack conditions. Overlapping symptoms evidenced limited impact on the psychopathological networks. The need to address the basic mechanisms underlying the structure and dynamics of psychopathological networks through the expansion of the current methodological framework and its consolidation in more robust theories is stressed.

Identifiants

pubmed: 31827450
doi: 10.3389/fpsyg.2019.02448
pmc: PMC6849493
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2448

Informations de copyright

Copyright © 2019 Castro, Ferreira, de Castro, Rodrigues, Correia, Ribeiro and Ferreira.

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Auteurs

Daniel Castro (D)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Center for Psychology at University of Porto, Porto, Portugal.

Filipa Ferreira (F)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Center for Psychology at University of Porto, Porto, Portugal.

Inês de Castro (I)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.

Ana Rita Rodrigues (AR)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Center for Psychology at University of Porto, Porto, Portugal.

Marta Correia (M)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.

Josefina Ribeiro (J)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.

Tiago Bento Ferreira (TB)

Department of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Center for Psychology at University of Porto, Porto, Portugal.

Classifications MeSH