Skip to main content
Top
Published in: European Archives of Psychiatry and Clinical Neuroscience 4/2021

Open Access 01-06-2021 | Schizophrenia | Original Paper

The network structure of schizotypy in the general population

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

Published in: European Archives of Psychiatry and Clinical Neuroscience | Issue 4/2021

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Meehl PE (1962) Schizotaxia, schizotypy, schizophrenia. Am Psychol 17:827–838CrossRef Meehl PE (1962) Schizotaxia, schizotypy, schizophrenia. Am Psychol 17:827–838CrossRef
10.
go back to reference Kwapil TR, Gross GM, Silvia PJ, Barrantes-Vidal N (2013) Prediction of psychopathology and functional impairment by positive and negative schizotypy in the Chapmans’ ten-year longitudinal study. J Abnorm Psychol 122:807–815CrossRef Kwapil TR, Gross GM, Silvia PJ, Barrantes-Vidal N (2013) Prediction of psychopathology and functional impairment by positive and negative schizotypy in the Chapmans’ ten-year longitudinal study. J Abnorm Psychol 122:807–815CrossRef
11.
go back to reference Barrantes-Vidal N, Gross GM, Sheinbaum T et al (2013) Positive and negative schizotypy are associated with prodromal and schizophrenia-spectrum symptoms. Schizophr Res 145:50–55CrossRef Barrantes-Vidal N, Gross GM, Sheinbaum T et al (2013) Positive and negative schizotypy are associated with prodromal and schizophrenia-spectrum symptoms. Schizophr Res 145:50–55CrossRef
13.
go back to reference Chapman LJ, Chapman JP, Kwapil TR et al (1994) Putatively psychosis-prone subjects 10 years later. J Abnorm Psychol 103:171–183CrossRef Chapman LJ, Chapman JP, Kwapil TR et al (1994) Putatively psychosis-prone subjects 10 years later. J Abnorm Psychol 103:171–183CrossRef
16.
go back to reference Vollema MG, Hoijtink H (2000) The multidimensionality of self-report schizotypy in a psychiatric population: an analysis using multidimensional Rasch models. Schizophr Bull 26:565–575CrossRef Vollema MG, Hoijtink H (2000) The multidimensionality of self-report schizotypy in a psychiatric population: an analysis using multidimensional Rasch models. Schizophr Bull 26:565–575CrossRef
17.
go back to reference Rossi A, Daneluzzo E (2002) Schizotypal dimensions in normals and schizophrenic patients: a comparison with other clinical samples. Schizophr Res 54:67–75CrossRef Rossi A, Daneluzzo E (2002) Schizotypal dimensions in normals and schizophrenic patients: a comparison with other clinical samples. Schizophr Res 54:67–75CrossRef
23.
go back to reference Claridge G, McCreery C, Mason OJ et al (1996) The factor structure of ‘schizotypal ‘traits: a large replication study. Br J Clin Psychol 35:103–115CrossRef Claridge G, McCreery C, Mason OJ et al (1996) The factor structure of ‘schizotypal ‘traits: a large replication study. Br J Clin Psychol 35:103–115CrossRef
27.
go back to reference Fonseca-Pedrero E, Ortuño-Sierra J, Sierro G et al (2015) The measurement invariance of schizotypy in Europe. Eur Psychiatry 30:837–844CrossRef Fonseca-Pedrero E, Ortuño-Sierra J, Sierro G et al (2015) The measurement invariance of schizotypy in Europe. Eur Psychiatry 30:837–844CrossRef
31.
go back to reference Fried EI, Cramer AO (2017) Moving forward: challenges and directions for psychopathological network theory and methodology. Perspect Psychol Sci 12:999–1020CrossRef Fried EI, Cramer AO (2017) Moving forward: challenges and directions for psychopathological network theory and methodology. Perspect Psychol Sci 12:999–1020CrossRef
35.
go back to reference Cramer AO, Waldorp LJ, van der Maas HL, Borsboom D (2010) Comorbidity: a network perspective. Behav Brain Sci 33:137–150CrossRef Cramer AO, Waldorp LJ, van der Maas HL, Borsboom D (2010) Comorbidity: a network perspective. Behav Brain Sci 33:137–150CrossRef
41.
go back to reference Forbes MK, Wright AG, Markon KE, Krueger RF (2017) Evidence that psychopathology symptom networks have limited replicability. J Abnorm Psychol 126(7):969–988CrossRef Forbes MK, Wright AG, Markon KE, Krueger RF (2017) Evidence that psychopathology symptom networks have limited replicability. J Abnorm Psychol 126(7):969–988CrossRef
46.
go back to reference Nuechterlein KH, Dawson ME (1984) A heuristic vulnerability/stress model of schizophrenic episodes. Schizophr Bull 10:300CrossRef Nuechterlein KH, Dawson ME (1984) A heuristic vulnerability/stress model of schizophrenic episodes. Schizophr Bull 10:300CrossRef
47.
go back to reference Garety PA, Kuipers E, Fowler D et al (2001) A cognitive model of the positive symptoms of psychosis. Psychol Med 31:189–195CrossRef Garety PA, Kuipers E, Fowler D et al (2001) A cognitive model of the positive symptoms of psychosis. Psychol Med 31:189–195CrossRef
61.
go back to reference Core Team R (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna Core Team R (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
62.
go back to reference RStudio team (2016) RStudio: integrated development for R. RStudio Inc, Boston RStudio team (2016) RStudio: integrated development for R. RStudio Inc, Boston
76.
go back to reference Bleuler E (1950) Dementia praecox or the group of schizophrenias. International Universities Press, New York Bleuler E (1950) Dementia praecox or the group of schizophrenias. International Universities Press, New York
78.
go back to reference Cornblatt BA, Keilp JG (1994) Impaired attention, genetics, and the pathophysiology of schizophrenia. Schizophr Bull 20:31–46CrossRef Cornblatt BA, Keilp JG (1994) Impaired attention, genetics, and the pathophysiology of schizophrenia. Schizophr Bull 20:31–46CrossRef
Metadata
Title
The network structure of schizotypy in the general population
Authors
Bertalan Polner
Eliana Faiola
Maria F. Urquijo
Inga Meyhöfer
Maria Steffens
Levente Rónai
Nikolaos Koutsouleris
Ulrich Ettinger
Publication date
01-06-2021
Publisher
Springer Berlin Heidelberg
Keyword
Schizophrenia
Published in
European Archives of Psychiatry and Clinical Neuroscience / Issue 4/2021
Print ISSN: 0940-1334
Electronic ISSN: 1433-8491
DOI
https://doi.org/10.1007/s00406-019-01078-x

Other articles of this Issue 4/2021

European Archives of Psychiatry and Clinical Neuroscience 4/2021 Go to the issue