Effective connectivity analysis of response inhibition functional network

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Brain Imaging

Background:

• Response inhibition is crucial for daily adaptation.
• Causal interactions within large-scale brain networks during inhibition are not well understood.

Purpose of the Study:

• To investigate the effective connectivity (EC) of brain networks during response inhibition.
• To explore the neural underpinnings of successful and unsuccessful inhibition.
• To examine the relationship between network dynamics, impulsivity, and inhibitory control.

Main Methods:

• Utilized functional magnetic resonance imaging (fMRI) with a Go-NoGo task.
• Applied dynamic causal modeling (DCM) and independent component analysis (ICA) to analyze effective connectivity.
• Included 19 healthy participants.

Main Results:

• Identified four key networks: salience network (SN), executive control networks (ECNs), and ventral default mode network (vDMN).
• Found inhibitory influence from vDMN to left ECN (lECN) during successful inhibition.
• Observed increased activation in SN, ECNs, and somatomotor network (SMN) during failed inhibition.
• Correlated SMN to SN influence with commission errors.
• Linked higher impulsivity to increased interhemispheric ECN integration and rECN to vDMN excitatory modulation.

Conclusions:

• Response inhibition involves complex, hierarchical network dynamics.
• Findings provide insight into neural mechanisms of inhibition and impulsivity.
• Highlights potential for future research on inhibitory control across the lifespan.