Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control.

ABSTRACT: Alterations in attention to cues signaling the need for inhibitory control play a significant role in a wide range of psychopathology. However, the degree to which motivational and attentional factors shape the neurocomputations of proactive inhibitory control remains poorly understood. The present study investigated how variation in monetary incentive valence and stake modulate the neurocomputational signatures of proactive inhibitory control. Adults (N = 46) completed a Stop-Signal Task (SST) with concurrent EEG recording under four conditions associated with stop performance feedback: low and high punishment (following unsuccessful stops) and low and high reward (following successful stops). A Bayesian learning model was used to infer individual's probabilistic expectations of th

SUBMITTER: Gupta RS 

PROVIDER: S-EPMC11019005 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature