Evidence map›Paper›PMID 31827450›Full record

ArticleFrontiers in psychology2019

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

Daniel Castro, Filipa Ferreira, Inês de Castro, Ana Rita Rodrigues, Marta Correia, Josefina Ribeiro, Tiago Bento Ferreira

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed.

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  12. A Network Analysis of Inner Strength Among University Students with Borderline Personality Disorder Symptoms.European journal of investigation in health, psychology and education · 2026
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel CastroDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Filipa FerreiraDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Inês de CastroDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Ana Rita RodriguesDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Marta CorreiaDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Josefina RibeiroDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.
Tiago Bento FerreiraDepartment of Social and Behavioural Sciences, University Institute of Maia, Maia, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

bridge symptomscentral symptomsnetwork analysispsychopathologyvulnerability

Identifiers

PMID31827450
PMCPMC6849493

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.