Evidence map›Paper›PMID 31646383›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2021

The network structure of schizotypy in the general population.

Bertalan Polner, Eliana Faiola, Maria F Urquijo, Inga Meyhöfer, Maria Steffens, Levente Rónai, Nikolaos Koutsouleris, Ulrich Ettinger

Abstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. 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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  20. The network structure of schizotypy in the general population.European archives of psychiatry and clinical neuroscience · 2021
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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

8 authors.

Bertalan PolnerDepartment of Cognitive Science, Budapest University of Technology and Economics, Egry József utca 1., T épület, V. emelet 506, Budapest, 1111, Hungary. bpolner@cogsci.bme.hu.ORCID http://orcid.org/0000-0003-1789-9051
Eliana FaiolaDepartment of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany.
Maria F UrquijoDepartment of Psychiatry and Psychotherapy, University of Munich, Nussbaumstr. 7, 80336, Munich, Germany.
Inga MeyhöferDepartment of Psychiatry and Psychotherapy, Münster University Hospital, Westfälische Wilhelms-University, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Maria SteffensDepartment of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany.
Levente RónaiDepartment of Cognitive Science, Budapest University of Technology and Economics, Egry József utca 1., T épület, V. emelet 506, Budapest, 1111, Hungary.
Nikolaos KoutsoulerisDepartment of Psychiatry and Psychotherapy, University of Munich, Nussbaumstr. 7, 80336, Munich, Germany.
Ulrich EttingerDepartment of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany.

Funding

Deutsche Forschungsgemeinschaft ET 31/7-1Deutsche Forschungsgemeinschaft KO 3523/7-1Emberi Eroforrások Minisztériuma ÚNKP-19-3FIKP grant of EMMI BME FIKP BIONational Research, Development and Innovation Office NKFI/OTKA K 128599
6 · The paper itself

Abstract

Schizotypal personality traits show similarity with schizophrenia at various levels of analysis. It is generally agreed that schizotypal personality is multidimensional; however, it is still debated whether impulsive nonconformity should be incorporated into theories and measurement of schizotypy. In addition, relatively little is known about the network structure of the four-dimensional model of schizotypal personality. To estimate the network structure of schizotypy, we used data from participants recruited from the community (N = 11,807) who completed the short version of the Oxford-Liverpool Inventory of Feelings and Experiences, a widespread self-report instrument that assesses the positive, negative, disorganised and impulsive domains of schizotypy. We performed community detection, then examined differences between communities in terms of centralities and compared the strength of edges within and between communities. We found communities that almost perfectly corresponded to the a priori-defined subscales (93% overlap, normalised mutual information = 0.74). Items in the disorganisation community had higher closeness centrality relative to items in the other communities (Cliff's Δs ranged from 0.55 to 0.83) and weights of edges within the disorganisation community were stronger as compared to the negative schizotypy and impulsive nonconformity communities (Cliff's Δs = 0.33). Our findings imply that the inclusion of impulsive nonconformity items does not dilute the classical three-factor structure of positive, negative and disorganised schizotypy. The high closeness centrality of disorganisation concurs with theories positing that cognitive slippage and associative loosening are core features of the schizophrenic phenotype.

Indexed as

SchizophreniaSchizotypal Personality DisorderHumansImpulsive BehaviorPersonalityPersonality InventorySurveys and QuestionnairesFactor structureNetwork analysisPersonalitySchizophreniaSchizotypy

Identifiers

PMID31646383
PMCPMC8119252

What OpenQuestion holds

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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.