Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample

Abstract Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple psychiatric disorders. Using computational modeling, we previously reported that individuals with depression, anxiety, and substance use disorders (DEP/ANX; SUDs) exhibited differences in decision uncertaint...

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Autores principales:	Ryan Smith, Namik Kirlic, Jennifer L. Stewart, James Touthang, Rayus Kuplicki, Timothy J. McDermott, Samuel Taylor, Sahib S. Khalsa, Martin P. Paulus, Robin L. Aupperle
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a2960010d25b4ebeb01b5a98125ce34d
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spelling	oai:doaj.org-article:a2960010d25b4ebeb01b5a98125ce34d2021-12-02T15:03:13ZLong-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample10.1038/s41598-021-91308-x2045-2322https://doaj.org/article/a2960010d25b4ebeb01b5a98125ce34d2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91308-xhttps://doaj.org/toc/2045-2322Abstract Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple psychiatric disorders. Using computational modeling, we previously reported that individuals with depression, anxiety, and substance use disorders (DEP/ANX; SUDs) exhibited differences in decision uncertainty and sensitivity to negative outcomes versus reward (emotional conflict) relative to healthy controls (HCs). However, it remains unknown whether these computational parameters and group differences are stable over time. We analyzed 1-year follow-up data from a subset of the same participants (N = 325) to assess parameter stability and relationships to other clinical and task measures. We assessed group differences in the entire sample as well as a subset matched for age and IQ across HCs (N = 48), SUDs (N = 29), and DEP/ANX (N = 121). We also assessed 2–3 week reliability in a separate sample of 30 HCs. Emotional conflict and decision uncertainty parameters showed moderate 1-year intra-class correlations (.52 and .46, respectively) and moderate to excellent correlations over the shorter period (.84 and .54, respectively). Similar to previous baseline findings, parameters correlated with multiple response time measures (ps < .001) and self-reported anxiety (r = .30, p < .001) and decision difficulty (r = .44, p < .001). Linear mixed effects analyses revealed that patients remained higher in decision uncertainty (SUDs, p = .009) and lower in emotional conflict (SUDs, p = .004, DEP/ANX, p = .02) relative to HCs. This computational modelling approach may therefore offer relatively stable markers of transdiagnostic psychopathology.Ryan SmithNamik KirlicJennifer L. StewartJames TouthangRayus KuplickiTimothy J. McDermottSamuel TaylorSahib S. KhalsaMartin P. PaulusRobin L. AupperleNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ryan Smith Namik Kirlic Jennifer L. Stewart James Touthang Rayus Kuplicki Timothy J. McDermott Samuel Taylor Sahib S. Khalsa Martin P. Paulus Robin L. Aupperle Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
description	Abstract Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple psychiatric disorders. Using computational modeling, we previously reported that individuals with depression, anxiety, and substance use disorders (DEP/ANX; SUDs) exhibited differences in decision uncertainty and sensitivity to negative outcomes versus reward (emotional conflict) relative to healthy controls (HCs). However, it remains unknown whether these computational parameters and group differences are stable over time. We analyzed 1-year follow-up data from a subset of the same participants (N = 325) to assess parameter stability and relationships to other clinical and task measures. We assessed group differences in the entire sample as well as a subset matched for age and IQ across HCs (N = 48), SUDs (N = 29), and DEP/ANX (N = 121). We also assessed 2–3 week reliability in a separate sample of 30 HCs. Emotional conflict and decision uncertainty parameters showed moderate 1-year intra-class correlations (.52 and .46, respectively) and moderate to excellent correlations over the shorter period (.84 and .54, respectively). Similar to previous baseline findings, parameters correlated with multiple response time measures (ps < .001) and self-reported anxiety (r = .30, p < .001) and decision difficulty (r = .44, p < .001). Linear mixed effects analyses revealed that patients remained higher in decision uncertainty (SUDs, p = .009) and lower in emotional conflict (SUDs, p = .004, DEP/ANX, p = .02) relative to HCs. This computational modelling approach may therefore offer relatively stable markers of transdiagnostic psychopathology.
format	article
author	Ryan Smith Namik Kirlic Jennifer L. Stewart James Touthang Rayus Kuplicki Timothy J. McDermott Samuel Taylor Sahib S. Khalsa Martin P. Paulus Robin L. Aupperle
author_facet	Ryan Smith Namik Kirlic Jennifer L. Stewart James Touthang Rayus Kuplicki Timothy J. McDermott Samuel Taylor Sahib S. Khalsa Martin P. Paulus Robin L. Aupperle
author_sort	Ryan Smith
title	Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
title_short	Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
title_full	Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
title_fullStr	Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
title_full_unstemmed	Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
title_sort	long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a2960010d25b4ebeb01b5a98125ce34d
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Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample

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