Relating neural processing of reward and loss prospect to risky decision-making in individuals with and without gambling disorder
Bibliographic record
Abstract
Neuroimaging studies demonstrate alterations in fronto-striatal neurocircuitry in gambling disorder (GD) during anticipatory processing, which may influence decision-making impairments. However, to date little is known about fronto-striatal anticipatory processing and emotion-based decision-making. While undergoing neuroimaging, 28 GD and 28 healthy control (HC) participants performed the Monetary Incentive Delay Task (MIDT). Pearson correlation coefficients assessed out-of-scanner Iowa Gambling Task (IGT) performance with the neural activity during prospect (A1) processing on the MIDT across combined GD and HC groups. The HC and GD groups showed no significant difference in out-of-scanner IGT performance, although there was a trend for higher IGT scores in the HC group on the last two IGT trial blocks. Whole-brain correlations across combined HC and GD groups showed that MIDT BOLD signal in the ventral striatum/caudate/ventromedial prefrontal cortex and anterior cingulate regions during the prospect of winning positively correlated with total IGT scores. The GD group also contained a higher proportion of tobacco smokers, and correlations between neural activations in prospect on the MIDT may relate in part to gambling and/or smoking pathology. In this study, fronto-striatal activity during the prospect of reward and loss on the MIDT was related to decision-making on the IGT, with blunted activation linked to disadvantageous decision-making. The findings from this work are novel in linking brain activity during a prospect-of-reward phase with performance on a decision-making task in individuals with and without GD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".