چکیده:
Background: Electroencephalogram (EEG) signals, which measure the brain's electrical activity, are known to encode information about low-level perceptual decision-making. However, whether these signals also reflect hierarchical decision-making processes—wherein high-level decisions depend on the outcomes of low-level decisions and prior decision history—remains unclear. The accuracy of this integrated process is guided by feedback. Since negative feedback can result from errors at the low level, high level, or both, its precise source is often ambiguous.
Objective: This study aimed to determine whether feedback-related negativity (FRN) derived from EEG signals reflects the dynamics of hierarchical decision-making.
Methods: Participants performed a hierarchical decision-making task while EEG signals were recorded, and they reported both low- and high-level decisions simultaneously via saccadic eye movements toward a single target. Correct feedback was delivered only when both decisions were accurate. The FRN component was analyzed at electrodes F3, F4, Fz, and Cz.
Results: The FRN component conveyed information about hierarchical decisions, with amplitude increasing significantly during consecutive negative feedback trials and prior to changes in high-level decision strategy.
Conclusions: These findings suggest that brain activity underlying hierarchical decision-making modulates the FRN component.
Objective: This study aimed to determine whether feedback-related negativity (FRN) derived from EEG signals reflects the dynamics of hierarchical decision-making.
Methods: Participants performed a hierarchical decision-making task while EEG signals were recorded, and they reported both low- and high-level decisions simultaneously via saccadic eye movements toward a single target. Correct feedback was delivered only when both decisions were accurate. The FRN component was analyzed at electrodes F3, F4, Fz, and Cz.
Results: The FRN component conveyed information about hierarchical decisions, with amplitude increasing significantly during consecutive negative feedback trials and prior to changes in high-level decision strategy.
Conclusions: These findings suggest that brain activity underlying hierarchical decision-making modulates the FRN component.
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