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Neural Differences in Relation to Risk Preferences during Reward Processing: An Event-Related Potential Study.
Sedigheh Naghel1, Antonino Vallesi2, Hassan Sabouri Moghadam1
1Department of Neuroscience, Faculty of Psychology and Educational Science, University of Tabriz, Tabriz 5166616471, Iran.
This study reveals distinct neural activity patterns in risk-seeking versus risk-averse individuals during reward processing. Event-related potentials (ERPs) like stimulus-preceding negativity (SPN) and feedback-related negativity (FRN) highlight these differences.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Decision Science
Background:
- Individual differences in risk preference are linked to reward processing variations.
- Neural mechanisms underlying these differences in risk-seeking and risk-averse individuals are not well understood.
Purpose of the Study:
- To investigate and compare the electrophysiological correlates of reward processing at different stages in risk-seeking and risk-averse individuals.
- To identify neural markers distinguishing between risk-seeking and risk-averse behavior.
Main Methods:
- Participants were categorized as risk-seeking or risk-averse based on the Balloon Analogue Risk Task (BART).
- Electroencephalogram (EEG) and event-related potentials (ERPs) were recorded during a gambling task.
- Analysis focused on stimulus-preceding negativity (SPN) during anticipation and feedback-related negativity (FRN) during outcome evaluation.
Main Results:
- Risk-seekers predominantly chose high-risk options, while risk-averse individuals preferred low-risk options.
- Risk-seekers showed an attenuated SPN for low-risk options and an increased FRN for losses.
- Risk-averse individuals did not exhibit significant differences in SPN or FRN based on risk level or outcome.
Conclusions:
- Event-related potentials (ERPs) effectively differentiate reward processing in risk-seeking and risk-averse individuals.
- Neural processes related to motivation and cognitive control are crucial in explaining variations in reward-based decision-making.
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