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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2019
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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 |
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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 |
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