Evidence map›Paper›PMID 38422083›Full record

ArticlePloS one2024

Centrality measures in psychological networks: A simulation study on identifying effective treatment targets.

Daniel Castro, Deisy Gysi, Filipa Ferreira, Fernando Ferreira-Santos, Tiago Bento Ferreira

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  3. The Network Model of Mentalization, Social Vulnerability, and the Self in Autism: A Comparison With Neurotypical Adults.Autism research : official journal of the International Society for Autism Research · 2026
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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

5 authors.

Daniel CastroUniversity of Maia, Maia, Portugal.ORCID 0000-0003-4602-7404
Deisy GysiCenter for Complex Network Research, Northeastern University, Boston, Massachusetts, United States of America.
Filipa FerreiraUniversity of Maia, Maia, Portugal.
Fernando Ferreira-SantosLaboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal.ORCID 0000-0002-2656-5291
Tiago Bento FerreiraUniversity of Maia, Maia, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The network theory of psychopathology suggests that symptoms in a disorder form a network and that identifying central symptoms within this network might be important for an effective and personalized treatment. However, recent evidence has been inconclusive. We analyzed contemporaneous idiographic networks of depression and anxiety symptoms. Two approaches were compared: a cascade-based attack where symptoms were deactivated in decreasing centrality order, and a normal attack where symptoms were deactivated based on original centrality estimates. Results showed that centrality measures significantly affected the attack's magnitude, particularly the number of components and average path length in both normal and cascade attacks. Degree centrality consistently had the highest impact on the network properties. This study emphasizes the importance of considering centrality measures when identifying treatment targets in psychological networks. Further research is needed to better understand the causal relationships and predictive capabilities of centrality measures in personalized treatments for mental disorders.

Indexed as

Mental DisordersComputer SimulationHumansPsychopathologyTreatment Outcome

Identifiers

PMID38422083
PMCPMC10903921

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.