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EEG Study: SPN Modulations in a Probabilistic Reinforcement Learning Task

Leckwyck, Emma van (2024) EEG Study: SPN Modulations in a Probabilistic Reinforcement Learning Task. Master thesis, Psychology.

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Abstract

This study explores the modulation of Stimulus-Preceding Negativity (SPN) within a probabilistic reinforcement learning task. The SPN is an event-related potential (ERP) component associated with feedback anticipation, with previous research suggesting its modulation by both uncertainty and emotional valence. We aimed to investigate how SPN is influenced by the level of uncertainty regarding feedback and the emotional relevance of that feedback, particularly in gain versus loss conditions. Using a probabilistic learning task, we manipulated the uncertainty of potential outcomes through different probability conditions (0.7, 0.5, 0.3) and emotional relevance by introducing gain-focused and loss-focused task conditions. The analysis revealed that SPN amplitudes were more negative in loss-focused conditions, indicating greater emotional impact, and that uncertainty influenced SPN amplitude, with more uncertain outcomes leading to higher SPN amplitudes. The findings suggest that SPN may serve as an indicator of feedback relevance rather than simply reflecting prediction of outcomes, with emotional valence playing a significant role in its modulation. These results contribute to our understanding of the neural mechanisms underlying reinforcement learning, emphasizing the importance of both uncertainty and emotional context in shaping anticipatory neural responses.

Item Type: Thesis (Master)
Supervisor name: Lorist, M.M. and Span, M.M.
Degree programme: Psychology
Differentiation route: Other [Master Psychology]
Date Deposited: 29 Aug 2024 09:08
Last Modified: 29 Aug 2024 09:08
URI: http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/4328

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