Crucially, a Bayesian prediction model revealed that these interactions changed with subjective levels of trial-by-trial stop-signal anticipation such that the strength of causal influence from rIFC to rAI increased significantly on trials in which participants had higher stop-signal anticipation. Taken together, these results demonstrate the crucial role of rAI in detection of behaviorally salient signals in both auditory and visual modalities and highlight the role of rIFC in top-down modulation of rAI during anticipation of stop signals. Our findings significantly advance knowledge of how the frontal control system interacts with input from primary sensory regions and how these interactions are modulated by subjective changes in expectation over
Crucially, a Bayesian prediction model revealed that these interactions changed with subjective levels of trial-by-trial stop-signal anticipation such that the strength of causal influence from rIFC to rAI increased significantly on trials in which participants had higher stop-signal anticipation. Taken together, these results demonstrate the crucial role of rAI in detection of behaviorally salient signals in both auditory and visual modalities and highlight the role of rIFC in top-down modulation of rAI during anticipation of stop signals. Our findings significantly advance knowledge of how the frontal control system interacts with input from primary sensory regions and how these interactions are modulated by subjective changes in expectation over