دورية أكاديمية

Modelling the longitudinal dynamics of paranoia in psychosis: A temporal network analysis over 20 years.

التفاصيل البيبلوغرافية
العنوان: Modelling the longitudinal dynamics of paranoia in psychosis: A temporal network analysis over 20 years.
المؤلفون: Barnby JM; Social Computation and Representation Lab, Department of Psychology, Royal Holloway, University of London, London, UK; Cultural and Social Neuroscience Group, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, University of London, London, UK. Electronic address: joseph.barnby@rhul.ac.uk., Haslbeck JMB; Department of Clinical Psychological Science, Maastricht University, the Netherlands; Department of Psychological Methods, University of Amsterdam, the Netherlands., Rosen C; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA., Sharma R; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA., Harrow M; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
المصدر: Schizophrenia research [Schizophr Res] 2024 Jul 11; Vol. 270, pp. 465-475. Date of Electronic Publication: 2024 Jul 11.
Publication Model: Ahead of Print
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Science Publisher B. V Country of Publication: Netherlands NLM ID: 8804207 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2509 (Electronic) Linking ISSN: 09209964 NLM ISO Abbreviation: Schizophr Res Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Amsterdam : Elsevier Science Publisher B. V., c1988-
مستخلص: Background: Paranoia is a key feature of psychosis that can be highly debilitating. Theories of paranoia mostly interface with short-scale or cross-sectional data models, leaving the longitudinal course of paranoia underspecified.
Methods: We develop an empirical characterisation of two aspects of paranoia - persecutory and referential delusions - in individuals with psychosis over 20 years. We examine delusional dynamics by applying a Graphical Vector Autoregression Model to data collected from the Chicago Follow-up Study (n = 135 with a range of psychosis-spectrum diagnoses). We adjusted for age, sex, IQ, and antipsychotic use.
Results: We found that referential and persecutory delusions are central themes, supported by other primary delusions, and are strongly autoregressive - the presence of referential and persecutory delusions is predictive of their future occurrence. In a second analysis we demonstrate that social factors influence the severity of referential, but not persecutory, delusions.
Implications: We suggest that persecutory delusions represent central, resistant states in the cognitive landscape, whereas referential beliefs are more flexible, offering an important window of opportunity for intervention. Our data models can be collated with prior biological, computational, and social work to contribute toward a more complete theory of paranoia and provide more time-dependent evidence for optimal treatment targets.
Competing Interests: Declaration of competing interest None to declare.
(Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
فهرسة مساهمة: Keywords: Delusions; Network analysis; Persecutory delusions; Psychosis; Social context; Temporal dynamics
تواريخ الأحداث: Date Created: 20240712 Latest Revision: 20240712
رمز التحديث: 20240713
DOI: 10.1016/j.schres.2024.06.055
PMID: 38996524
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-2509
DOI:10.1016/j.schres.2024.06.055