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ORIGINAL RESEARCH article

Front. Neurosci.

Sec. Decision Neuroscience

Volume 19 - 2025 | doi: 10.3389/fnins.2025.1525038

Effective connectivity analysis of response inhibition functional architecture

Provisionally accepted
  • 1 University Hospital Jena, Jena, Germany
  • 2 Faculty of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil

The final, formatted version of the article will be published soon.

    Inhibition mechanisms are essential in daily life, helping individuals adapt to environmental demands. However, the causal interactions between large-scale functional network involved in response inhibition remain poorly understood. In this study, we examined the effective connectivity underlying inhibitory processes in the brain using Dynamic Causal Modeling and Independent Component Analysis. We conducted a Go-NoGo fMRI task with 19 healthy participants to investigate these networks. Our results identified four functional networks activated during correct motor response inhibition: the salience network (SN), the right and left executive control networks (ECNs), and the ventral default mode network (vDMN). We found a significant causal inhibitory influence from the vDMN to the left ECN. In case of incorrect response inhibition condition, the SN, the bilateral ECN and the Somatomotor Network (SMN) were found to be prominently activated. Here, we outlined a significant correlation between the inhibitory influence from the SMN to the SN and the commission error rate. Ultimately, the correlation between self-reported impulsivity levels and the causal network interactions revealed that highly impulsive individuals require greater interhemispheric integration between right and left areas of the ECN for effective inhibition, as well as a causal excitatory modulation from the rECN to the vDMN. Bottom line, our study reveals complex hierarchical dynamics among functional networks during response inhibition. These findings offer valuable insight into the neural mechanisms supporting inhibition and open avenues for future research on the neural underpinnings of this critical cognitive function during the course of life-span.

    Keywords: response inhibition, dynamic causal modeling, Spatial independent component analysis, go-no-go task, impulsivity, Functional Networks

    Received: 11 Nov 2024; Accepted: 17 Mar 2025.

    Copyright: © 2025 Di Giuliano, Schumann, De La Cruz, Da Silva and Bär. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Andy Schumann, University Hospital Jena, Jena, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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