Dissociable Effects of Mood-Anxiety and Compulsive Symptom Dimensions on Motivational Biases in Decision-Making

Vanessa Scholz, Mojtaba Rostami Kandroodi, Johannes Algermissen, Hanneke den Ouden

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Background: Motivation shape our behaviour in a seemingly automatic fashion. Rewards tend to trigger behavioural activation, whereas punishment prompts response inhibition. Such motivational biases appear to embody what is globally adaptive responding in our environment, where getting a reward usually requires taking action. Still, their automatic execution can result in maladaptive behaviour when bias-incongruent responses are required, and adaptive suppression fails. As changes in motivational processes represent a core feature of many psychiatric disorders, our goal was to examine the clinical relevance of these biases. Method(s): Data from a population sample (N=500) was acquired online using clinical questionnaires and an established Go-Nogo task to capture motivational biases. We used computational modelling to identify mechanisms associated with variability across clinical dimensions encapsulating mood-anxiety and compulsivity. Result(s): Strikingly, higher levels of mood-anxiety were linked to an improved ability to overcome motivational biases when these were maladaptive (s=-0.254, p=.008). Meanwhile, more compulsive individuals showed a general learning deficit, captured by an overall decreased learning rate (s=-0.011, p=.008). This double dissociation was mirrored in effects on reaction time. More mood-anxiety was associated with a slowing on incorrect responses, while slower correct responses were characteristic for higher compulsivity. Conclusion(s): Our study reveals a double dissociation for mood-anxiety and compulsivity in motivational decision-making. Speculatively, the improved performance and longer reaction times in more anxious-depressed individuals could originate from a more ruminative decision style and be computationally operationalized as increased decision-threshold. Meanwhile, decreased performance for higher compulsivity might be linked to reported deficits in model-based decision making in obsessive compulsive disorder. Supported By: DFG, NWO Keywords: Computational Psychiatry, Reinforcement Learning, Mood Disorder, Compulsivity, Motivational BiasesCopyright © 2020
Original languageEnglish
Pages (from-to)S382-S383
Number of pages2
JournalBiological Psychiatry
Volume87
Issue number9
DOIs
Publication statusPublished - 1 May 2020
Externally publishedYes

Keywords

  • Computational Psychiatry
  • Reinforcement Learning
  • Mood Disorder

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