Cargando…

The network structure of schizotypy in the general population

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. I...

Descripción completa

Detalles Bibliográficos
Autores principales: Polner, Bertalan, Faiola, Eliana, Urquijo, Maria F., Meyhöfer, Inga, Steffens, Maria, Rónai, Levente, Koutsouleris, Nikolaos, Ettinger, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119252/
https://www.ncbi.nlm.nih.gov/pubmed/31646383
http://dx.doi.org/10.1007/s00406-019-01078-x
_version_ 1783691834445266944
author Polner, Bertalan
Faiola, Eliana
Urquijo, Maria F.
Meyhöfer, Inga
Steffens, Maria
Rónai, Levente
Koutsouleris, Nikolaos
Ettinger, Ulrich
author_facet Polner, Bertalan
Faiola, Eliana
Urquijo, Maria F.
Meyhöfer, Inga
Steffens, Maria
Rónai, Levente
Koutsouleris, Nikolaos
Ettinger, Ulrich
author_sort Polner, Bertalan
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00406-019-01078-x) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-8119252
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-81192522021-05-26 The network structure of schizotypy in the general population Polner, Bertalan Faiola, Eliana Urquijo, Maria F. Meyhöfer, Inga Steffens, Maria Rónai, Levente Koutsouleris, Nikolaos Ettinger, Ulrich Eur Arch Psychiatry Clin Neurosci Original Paper 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00406-019-01078-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-10-23 2021 /pmc/articles/PMC8119252/ /pubmed/31646383 http://dx.doi.org/10.1007/s00406-019-01078-x Text en © The Author(s) 2019 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Polner, Bertalan
Faiola, Eliana
Urquijo, Maria F.
Meyhöfer, Inga
Steffens, Maria
Rónai, Levente
Koutsouleris, Nikolaos
Ettinger, Ulrich
The network structure of schizotypy in the general population
title The network structure of schizotypy in the general population
title_full The network structure of schizotypy in the general population
title_fullStr The network structure of schizotypy in the general population
title_full_unstemmed The network structure of schizotypy in the general population
title_short The network structure of schizotypy in the general population
title_sort network structure of schizotypy in the general population
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119252/
https://www.ncbi.nlm.nih.gov/pubmed/31646383
http://dx.doi.org/10.1007/s00406-019-01078-x
work_keys_str_mv AT polnerbertalan thenetworkstructureofschizotypyinthegeneralpopulation
AT faiolaeliana thenetworkstructureofschizotypyinthegeneralpopulation
AT urquijomariaf thenetworkstructureofschizotypyinthegeneralpopulation
AT meyhoferinga thenetworkstructureofschizotypyinthegeneralpopulation
AT steffensmaria thenetworkstructureofschizotypyinthegeneralpopulation
AT ronailevente thenetworkstructureofschizotypyinthegeneralpopulation
AT koutsoulerisnikolaos thenetworkstructureofschizotypyinthegeneralpopulation
AT ettingerulrich thenetworkstructureofschizotypyinthegeneralpopulation
AT polnerbertalan networkstructureofschizotypyinthegeneralpopulation
AT faiolaeliana networkstructureofschizotypyinthegeneralpopulation
AT urquijomariaf networkstructureofschizotypyinthegeneralpopulation
AT meyhoferinga networkstructureofschizotypyinthegeneralpopulation
AT steffensmaria networkstructureofschizotypyinthegeneralpopulation
AT ronailevente networkstructureofschizotypyinthegeneralpopulation
AT koutsoulerisnikolaos networkstructureofschizotypyinthegeneralpopulation
AT ettingerulrich networkstructureofschizotypyinthegeneralpopulation