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The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping

BACKGROUND: Negative symptoms of schizophrenia have recently been proposed to result from a decoupling of (intact) hedonic experience and (diminished) approach behavior. The current study challenged this view by exploring the hypothesis that negative symptoms are driven by a specific type of emotion...

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Autores principales: Bartolomeo, Lisa A., Raugh, Ian M., Strauss, Gregory P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600929/
https://www.ncbi.nlm.nih.gov/pubmed/36722014
http://dx.doi.org/10.1017/S0033291722003774
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author Bartolomeo, Lisa A.
Raugh, Ian M.
Strauss, Gregory P.
author_facet Bartolomeo, Lisa A.
Raugh, Ian M.
Strauss, Gregory P.
author_sort Bartolomeo, Lisa A.
collection PubMed
description BACKGROUND: Negative symptoms of schizophrenia have recently been proposed to result from a decoupling of (intact) hedonic experience and (diminished) approach behavior. The current study challenged this view by exploring the hypothesis that negative symptoms are driven by a specific type of emotional experience abnormality, a reduction in the positivity offset (i.e. the tendency to experience greater levels of positive relative to negative emotion in low-arousal contexts), which limits the production of approach behaviors in neutral environments. METHODS: Participants included outpatients with SZ (n = 44) and healthy controls (CN: n = 48) who completed one week of active (ecological momentary assessment surveys of emotional experience and symptoms) and passive (geolocation, accelerometry) digital phenotyping. Mathematical modeling approaches from Cacioppo's Evaluative Space Model were used to quantify the positivity offset in daily life. Negative symptoms were assessed via standard clinical ratings, as well as active (EMA surveys) and passive (geolocation, accelerometry) digital phenotyping measures. RESULTS: Results indicated that the positivity offset was reduced in SZ and associated with more severe anhedonia and avolition measured via clinical interviews and active and passive digital phenotyping. CONCLUSIONS: These findings suggest that current conceptual models of negative symptoms, which assume hedonic normality, may need to be revised to account for reductions in the positivity offset and its connection to diminished motivated behavior. Findings identify key real-world contexts where negative symptoms could be targeted using psychosocial treatments.
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spelling pubmed-106009292023-10-27 The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping Bartolomeo, Lisa A. Raugh, Ian M. Strauss, Gregory P. Psychol Med Original Article BACKGROUND: Negative symptoms of schizophrenia have recently been proposed to result from a decoupling of (intact) hedonic experience and (diminished) approach behavior. The current study challenged this view by exploring the hypothesis that negative symptoms are driven by a specific type of emotional experience abnormality, a reduction in the positivity offset (i.e. the tendency to experience greater levels of positive relative to negative emotion in low-arousal contexts), which limits the production of approach behaviors in neutral environments. METHODS: Participants included outpatients with SZ (n = 44) and healthy controls (CN: n = 48) who completed one week of active (ecological momentary assessment surveys of emotional experience and symptoms) and passive (geolocation, accelerometry) digital phenotyping. Mathematical modeling approaches from Cacioppo's Evaluative Space Model were used to quantify the positivity offset in daily life. Negative symptoms were assessed via standard clinical ratings, as well as active (EMA surveys) and passive (geolocation, accelerometry) digital phenotyping measures. RESULTS: Results indicated that the positivity offset was reduced in SZ and associated with more severe anhedonia and avolition measured via clinical interviews and active and passive digital phenotyping. CONCLUSIONS: These findings suggest that current conceptual models of negative symptoms, which assume hedonic normality, may need to be revised to account for reductions in the positivity offset and its connection to diminished motivated behavior. Findings identify key real-world contexts where negative symptoms could be targeted using psychosocial treatments. Cambridge University Press 2023-10 2023-02-01 /pmc/articles/PMC10600929/ /pubmed/36722014 http://dx.doi.org/10.1017/S0033291722003774 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Bartolomeo, Lisa A.
Raugh, Ian M.
Strauss, Gregory P.
The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
title The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
title_full The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
title_fullStr The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
title_full_unstemmed The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
title_short The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
title_sort positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600929/
https://www.ncbi.nlm.nih.gov/pubmed/36722014
http://dx.doi.org/10.1017/S0033291722003774
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