Neuroimaging reveals distinct networks for response inhibition, suggesting adaptations in behavioral control processes.
Sustained inhibition is critical for adaptive behavioral control in complex environments, yet its neural underpinnings remain poorly understood. Using a sequence-selective stop-signal task, we hypothesized that increasing stop-signal delay (SSD) would elicit distinct behavioral dynamics and recruit dissociable neural systems supporting different stages of sustained inhibition. fMRI data from 26 participants across three SSD conditions (no-, short-, and long-delay), combined with an activation likelihood estimation (ALE) meta-analysis of 64 classical stop-signal studies, enabled us to contrast sustained and transient inhibition. Key behavioral results revealed a systematic decrease in response time (RT) with increasing SSD, while inhibition execution time (IT/ET) followed an inverted U-shaped pattern. Neuroimaging findings demonstrated that sustained inhibition engages a significantly broader bilateral network compared to transient inhibition, spanning prefrontal, parietal, and subcortical regions. Further analyses revealed a dual-mechanism inhibitory network in which early go-stop competition recruited bilateral inhibitory regions, with the left hemisphere providing complementary support, whereas late-stage emergency stopping relied primarily on a right-dominant prefrontal pathway. Together, these findings establish sustained inhibition as a distinct and dynamically organized control process, providing a novel framework for understanding how the brain flexibly regulates behavior under evolving temporal demands.
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Lin et al. (2025) studied this question.
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