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EEG: Alcohol imagery reinforcement learning task with light and heavy drinker participants

This dataset contains EEG recordings from an affective state reinforcement learning task performed by 54 community participants classified as light or heavy drinkers. The task involved alcohol-related imagery to examine reward-related neural responses, specifically the reward positivity, in relation to drinking status. Data were collected between 2019 and 2021 at the Clinical Research Center of the University of New Mexico.

Participants: 54
Channels: 66 (10-10)
Size: 9.48 GB
Version: v1.0.0
Updated: Aug 19, 2026

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