Goal-Directed Learning Deficits in Patients with OCD: A Bayesian Analysis
- 13-01-2023
- Original Article
- Auteurs
- Nur Hani Zainal
- Joan A. Camprodon
- Jennifer L. Greenberg
- Aura M. Hurtado
- Joshua E. Curtiss
- Rebecca Matilde Berger-Gutierrez
- Claire M. Gillan
- Sabine Wilhelm
- Gepubliceerd in
- Cognitive Therapy and Research | Uitgave 2/2023
Abstract
Introduction
Dual system learning theories posit an overreliance characterizes obsessive–compulsive disorder on habitual decision-making at the expense of goal-directed learning. However, most studies on this topic used frequentist statistics and did not evaluate the discriminant validity of goal-directed learning indices.
Methods
We recruited 55 OCD patients, used Bayesian statistics to examine goal-directed learning in OCD, and tested whether goal-directed learning indices showed discriminant validity. Patients completed self-reports, a two-stage reinforcement learning task, executive functioning (EF), and related tests (Rey Complex Figure, Wisconsin Card Sorting, Stroop tests).
Results
Analyses showed that goal-directed learning deficits were related to compulsions and self-reported OCD severity, but not obsessions, OCD-related beliefs, trait anxiety, anxiety sensitivity, or depression. Moreover, increased compulsivity and self-reported OCD (vs. all other dimensions examined) were linked to faster responses. Evidence for discriminant validity was found. Goal-directed learning coefficients were unrelated to set-shifting, inhibitory control, and visuospatial memory. Compulsivity was unrelated to memory and set-shifting but associated with poorer inhibition.
Conclusions
Findings highlight the importance of conceptualizing psychopathology dimensionally, such as the relevance of imbalanced habitual vs. goal-directed behavior in OCD. Results also underscore the importance of examining unique associations of goal-directed behaviors in OCD with clinical/syndromal measures (compulsions vs. obsessions).
- Titel
- Goal-Directed Learning Deficits in Patients with OCD: A Bayesian Analysis
- Auteurs
-
Nur Hani Zainal
Joan A. Camprodon
Jennifer L. Greenberg
Aura M. Hurtado
Joshua E. Curtiss
Rebecca Matilde Berger-Gutierrez
Claire M. Gillan
Sabine Wilhelm
- Publicatiedatum
- 13-01-2023
- Uitgeverij
- Springer US
- Gepubliceerd in
-
Cognitive Therapy and Research / Uitgave 2/2023
Print ISSN: 0147-5916
Elektronisch ISSN: 1573-2819 - DOI
- https://doi.org/10.1007/s10608-022-10348-3
Deze inhoud is alleen zichtbaar als je bent ingelogd en de juiste rechten hebt.
Deze inhoud is alleen zichtbaar als je bent ingelogd en de juiste rechten hebt.
Deze inhoud is alleen zichtbaar als je bent ingelogd en de juiste rechten hebt.