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 language | English |
|---|---|
| Pages (from-to) | S382-S383 |
| Number of pages | 2 |
| Journal | Biological Psychiatry |
| Volume | 87 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 1 May 2020 |
| Externally published | Yes |
Keywords
- Computational Psychiatry
- Reinforcement Learning
- Mood Disorder
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