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Measuring Social Motivation Using Signal Detection and Reward Responsiveness

BACKGROUND: Recent trends in psychiatry have emphasized the need for a shift from categorical to dimensional approaches. Of critical importance to this transformation is the availability of tools to objectively quantify behaviors dimensionally. The present study focuses on social motivation, a dimen...

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Autores principales: Chevallier, Coralie, Tonge, Natasha, Safra, Lou, Kahn, David, Kohls, Gregor, Miller, Judith, Schultz, Robert T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5132309/
https://www.ncbi.nlm.nih.gov/pubmed/27907025
http://dx.doi.org/10.1371/journal.pone.0167024
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author Chevallier, Coralie
Tonge, Natasha
Safra, Lou
Kahn, David
Kohls, Gregor
Miller, Judith
Schultz, Robert T.
author_facet Chevallier, Coralie
Tonge, Natasha
Safra, Lou
Kahn, David
Kohls, Gregor
Miller, Judith
Schultz, Robert T.
author_sort Chevallier, Coralie
collection PubMed
description BACKGROUND: Recent trends in psychiatry have emphasized the need for a shift from categorical to dimensional approaches. Of critical importance to this transformation is the availability of tools to objectively quantify behaviors dimensionally. The present study focuses on social motivation, a dimension of behavior that is central to a range of psychiatric conditions but for which a particularly small number of assays currently exist. METHODS: In Study 1 (N = 48), healthy adults completed a monetary reward task and a social reward task, followed by completion of the Chapman Physical and Social Anhedonia Scales. In Study 2 (N = 26), an independent sample was recruited to assess the robustness of Study 1’s findings. RESULTS: The reward tasks were analyzed using signal detection theory to quantify how much reward cues bias participants’ responses. In both Study 1 and Study 2, social anhedonia scores were negatively correlated with change in response bias in the social reward task but not in the monetary reward task. A median split on social anhedonia scores confirmed that participants with high social anhedonia showed less change in response bias in the social reward task compared to participants with low social anhedonia. CONCLUSIONS: This study confirms that social anhedonia selectively affects how much an individual changes their behavior based on the presence of socially rewarding cues and establishes a tool to quantify social reward responsiveness dimensionally.
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spelling pubmed-51323092016-12-21 Measuring Social Motivation Using Signal Detection and Reward Responsiveness Chevallier, Coralie Tonge, Natasha Safra, Lou Kahn, David Kohls, Gregor Miller, Judith Schultz, Robert T. PLoS One Research Article BACKGROUND: Recent trends in psychiatry have emphasized the need for a shift from categorical to dimensional approaches. Of critical importance to this transformation is the availability of tools to objectively quantify behaviors dimensionally. The present study focuses on social motivation, a dimension of behavior that is central to a range of psychiatric conditions but for which a particularly small number of assays currently exist. METHODS: In Study 1 (N = 48), healthy adults completed a monetary reward task and a social reward task, followed by completion of the Chapman Physical and Social Anhedonia Scales. In Study 2 (N = 26), an independent sample was recruited to assess the robustness of Study 1’s findings. RESULTS: The reward tasks were analyzed using signal detection theory to quantify how much reward cues bias participants’ responses. In both Study 1 and Study 2, social anhedonia scores were negatively correlated with change in response bias in the social reward task but not in the monetary reward task. A median split on social anhedonia scores confirmed that participants with high social anhedonia showed less change in response bias in the social reward task compared to participants with low social anhedonia. CONCLUSIONS: This study confirms that social anhedonia selectively affects how much an individual changes their behavior based on the presence of socially rewarding cues and establishes a tool to quantify social reward responsiveness dimensionally. Public Library of Science 2016-12-01 /pmc/articles/PMC5132309/ /pubmed/27907025 http://dx.doi.org/10.1371/journal.pone.0167024 Text en © 2016 Chevallier et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chevallier, Coralie
Tonge, Natasha
Safra, Lou
Kahn, David
Kohls, Gregor
Miller, Judith
Schultz, Robert T.
Measuring Social Motivation Using Signal Detection and Reward Responsiveness
title Measuring Social Motivation Using Signal Detection and Reward Responsiveness
title_full Measuring Social Motivation Using Signal Detection and Reward Responsiveness
title_fullStr Measuring Social Motivation Using Signal Detection and Reward Responsiveness
title_full_unstemmed Measuring Social Motivation Using Signal Detection and Reward Responsiveness
title_short Measuring Social Motivation Using Signal Detection and Reward Responsiveness
title_sort measuring social motivation using signal detection and reward responsiveness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5132309/
https://www.ncbi.nlm.nih.gov/pubmed/27907025
http://dx.doi.org/10.1371/journal.pone.0167024
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