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Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis

Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson’s disease (PD). It is still unknown which factors determine individual proneness to psychotic symptoms. Schizotypy is a multifaceted personality trait related to psychosis-proneness and dopaminergic neurot...

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Autores principales: Oehrn, Carina R., Schönenkorb, Jana, Timmermann, Lars, Nenadić, Igor, Weber, Immo, Grant, Phillip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804198/
https://www.ncbi.nlm.nih.gov/pubmed/33437004
http://dx.doi.org/10.1038/s41598-020-80765-5
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author Oehrn, Carina R.
Schönenkorb, Jana
Timmermann, Lars
Nenadić, Igor
Weber, Immo
Grant, Phillip
author_facet Oehrn, Carina R.
Schönenkorb, Jana
Timmermann, Lars
Nenadić, Igor
Weber, Immo
Grant, Phillip
author_sort Oehrn, Carina R.
collection PubMed
description Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson’s disease (PD). It is still unknown which factors determine individual proneness to psychotic symptoms. Schizotypy is a multifaceted personality trait related to psychosis-proneness and dopaminergic neurotransmission in healthy subjects. We investigated whether (1) PD patients exhibit lower schizotypy than controls and (2) dopamine-related neuropsychiatric side-effects can be predicted by higher schizotypy. In this cross-sectional study, we used the Oxford-Liverpool Inventory of Feelings and Experiences in 56 PD patients (12 women, mean ± sd age: 61 ± 11 years) receiving their usual dopaminergic medication and 32 age-matched healthy controls (n = 32; 18 women, mean ± sd age: 57 ± 6 years). We further compared schizotypy scores of patients with (n = 18, 32.1%) and without previously experienced psychosis. We found that patients exhibited lower schizotypy than controls. Further, patients with a history of psychosis exhibited higher schizotypy than patients without these symptoms. Using an information theoretic measure and a machine learning approach, we show that schizotypy yields the greatest predictive value for dopamine-associated hallucinations compared to other patient characteristics and disease related factors. Our results indicate an overlap between neural networks associated with schizotypy and the pathophysiology of PD and a relationship between schizotypy and psychotic side-effects of dopaminergic medication.
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spelling pubmed-78041982021-01-13 Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis Oehrn, Carina R. Schönenkorb, Jana Timmermann, Lars Nenadić, Igor Weber, Immo Grant, Phillip Sci Rep Article Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson’s disease (PD). It is still unknown which factors determine individual proneness to psychotic symptoms. Schizotypy is a multifaceted personality trait related to psychosis-proneness and dopaminergic neurotransmission in healthy subjects. We investigated whether (1) PD patients exhibit lower schizotypy than controls and (2) dopamine-related neuropsychiatric side-effects can be predicted by higher schizotypy. In this cross-sectional study, we used the Oxford-Liverpool Inventory of Feelings and Experiences in 56 PD patients (12 women, mean ± sd age: 61 ± 11 years) receiving their usual dopaminergic medication and 32 age-matched healthy controls (n = 32; 18 women, mean ± sd age: 57 ± 6 years). We further compared schizotypy scores of patients with (n = 18, 32.1%) and without previously experienced psychosis. We found that patients exhibited lower schizotypy than controls. Further, patients with a history of psychosis exhibited higher schizotypy than patients without these symptoms. Using an information theoretic measure and a machine learning approach, we show that schizotypy yields the greatest predictive value for dopamine-associated hallucinations compared to other patient characteristics and disease related factors. Our results indicate an overlap between neural networks associated with schizotypy and the pathophysiology of PD and a relationship between schizotypy and psychotic side-effects of dopaminergic medication. Nature Publishing Group UK 2021-01-12 /pmc/articles/PMC7804198/ /pubmed/33437004 http://dx.doi.org/10.1038/s41598-020-80765-5 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Oehrn, Carina R.
Schönenkorb, Jana
Timmermann, Lars
Nenadić, Igor
Weber, Immo
Grant, Phillip
Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis
title Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis
title_full Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis
title_fullStr Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis
title_full_unstemmed Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis
title_short Schizotypy in Parkinson’s disease predicts dopamine-associated psychosis
title_sort schizotypy in parkinson’s disease predicts dopamine-associated psychosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804198/
https://www.ncbi.nlm.nih.gov/pubmed/33437004
http://dx.doi.org/10.1038/s41598-020-80765-5
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