Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Inhibition is an important concept in cognitive neuroscience. Direct inhibition, characterized by the active suppression of stimuli, and competition-induced inhibition, which involves ignoring irrelevant stimuli by prioritizing relevant ones, have traditionally been considered distinct and studied separately. Although their spatial neural overlap has been highlighted, the temporal dimension-the development of neural activities over time-remains largely unexplored. Using multimodal neuroimaging and behavioral experiments in the auditory and visual domains, in addition to conjunction analyses that capture their neural commonalities, we observed that both inhibition types exhibit a shared deactivation temporal dynamic. It is characterized by a progressive reduction in frontoparietal activation and increased deactivation in sensory regions, a pattern that is positively correlated with improved inhibition performance and whose causal disruption contributes to reduced inhibitory effect. Furthermore, this deactivation-dominant pattern is consistent across different sensory modalities and generalizes to various low-processing demand scenarios, whether actively induced or passively experienced. In addition, functional blurring in information clarity during inhibition is found. Overall, the findings reveal that diverse inhibitory processes for modulating information input converge on a shared neural substrate characterized by dynamic feedforward signal attenuation, thereby bridging previously disconnected domains of inhibition research and offering new perspectives of neural deactivation.

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Publication Details

Journal
Advanced Science
Published
2025-08-26
DOI
https://doi.org/10.1002/advs.202506833
Citations
2
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
2.86

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article

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Barbara Jacquelyn Sahakian, Zhenhong He, Nils Muhlert, Youcun Zheng et al.
2 citations
Advanced Science
Neural dynamics and brain function
2.86
article

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Barbara Jacquelyn Sahakian, Zhenhong He, Nils Muhlert, Youcun Zheng, Yifan Du, Ziqi Fu
article en
2 citations

Abstract

Inhibition is an important concept in cognitive neuroscience. Direct inhibition, characterized by the active suppression of stimuli, and competition-induced inhibition, which involves ignoring irrelevant stimuli by prioritizing relevant ones, have traditionally been considered distinct and studied separately. Although their spatial neural overlap has been highlighted, the temporal dimension-the development of neural activities over time-remains largely unexplored. Using multimodal neuroimaging and behavioral experiments in the auditory and visual domains, in addition to conjunction analyses that capture their neural commonalities, we observed that both inhibition types exhibit a shared deactivation temporal dynamic. It is characterized by a progressive reduction in frontoparietal activation and increased deactivation in sensory regions, a pattern that is positively correlated with improved inhibition performance and whose causal disruption contributes to reduced inhibitory effect. Furthermore, this deactivation-dominant pattern is consistent across different sensory modalities and generalizes to various low-processing demand scenarios, whether actively induced or passively experienced. In addition, functional blurring in information clarity during inhibition is found. Overall, the findings reveal that diverse inhibitory processes for modulating information input converge on a shared neural substrate characterized by dynamic feedforward signal attenuation, thereby bridging previously disconnected domains of inhibition research and offering new perspectives of neural deactivation.

Advanced ScienceVol. 12(43)
Shenzhen University (CN), Manchester Academic Health Science Centre (GB), University of Manchester (GB), University Town of Shenzhen (CN), Cambridge School (PT), Chinese University of Hong Kong, Shenzhen (CN), McGill University (CA), Sungkyunkwan University (KR)
National Institute for Health and Care Research, Department of Health and Social Care, National Natural Science Foundation of China, Shenzhen-Hong Kong Institute of Brain Science, Manchester Biomedical Research Centre
Openalex Percentile: Top 9%
Neural dynamics and brain function
2.86
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