Abstract
The Iowa Gambling Task (IGT) is used to assess decision-making in clinical populations. The original IGT does not disambiguate reward and punishment learning; however, an adaptation of the task, the “play-or-pass” IGT, was developed to better distinguish between reward and punishment learning. We evaluated the test-retest reliability of measures of reward and punishment learning from the play-or-pass IGT and examined associations with self-reported measures of reward/punishment sensitivity and internalizing symptoms. Participants completed the task across two sessions, and we calculated mean-level differences and rank-order stability of behavioral measures across the two sessions using traditional scoring, involving session-wide choice proportions, and computational modeling, involving estimates of different aspects of trial-level learning. Measures using both approaches were reliable; however, computational modeling provided more insights regarding between-session changes in performance, and how performance related to self-reported measures of reward/punishment sensitivity and internalizing symptoms. Our results show promise in using the play-or-pass IGT to assess decision-making; however, further work is still necessary to validate the play-or-pass IGT.
| Original language | English |
|---|---|
| Pages (from-to) | 740-754 |
| Number of pages | 15 |
| Journal | Cognitive, Affective and Behavioral Neuroscience |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jun 7 2024 |
| Externally published | Yes |
Scopus Subject Areas
- Cognitive Neuroscience
- Behavioral Neuroscience
Keywords
- Computational modeling
- Construct validity
- Hierarchical Bayesian analysis
- Iowa Gambling Task
- Test-retest reliability
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