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Predicting human inhibitory control from brain structural MRI.

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This summary is machine-generated.

This study reveals distinct brain network patterns associated with high and low inhibitory control. Specific cortical connections, particularly in the prefrontal cortex, are key markers for inhibitory function in healthy adults.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Individual differences in brain anatomy and cognitive behavior are significant.
  • The relationship between brain structure and inhibitory control remains underexplored.
  • Understanding these links is crucial for insights into cognitive function and disorders.

Purpose of the Study:

  • To identify cortical structural markers associated with inhibitory control.
  • To investigate the relationship between brain morphometric similarity networks and inhibitory behavior.
  • To elucidate the neural basis of inhibitory control using structural MRI.

Main Methods:

  • Analyzed structural magnetic resonance imaging (sMRI) data from 361 healthy adults.
  • Constructed individual brain morphometric similarity networks based on cortical measures.
  • Applied a brain connectome-based predictive model (CPM) to link network patterns with inhibitory control.

Main Results:

  • Identified distinct network patterns for high and low inhibitory control.
  • The high inhibitory control network involved prefrontal and orbitofrontal cortex regions.
  • The right ventromedial prefrontal cortex and left middle temporal gyrus were identified as crucial nodes.

Conclusions:

  • Correlated cortical structure patterns are significantly related to inhibitory control.
  • Specific brain regions, including R.OFCmed and L.MTG, play fundamental roles in inhibitory control.
  • Findings contribute to understanding brain systems underlying inhibition and related disorders.