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Related Experiment Video

Updated: May 31, 2025

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White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient.

Zhengjie Li1, Jiajun Liu1, Jianhui Zheng1

  • 1College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China.

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|January 24, 2025
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Summary
This summary is machine-generated.

This study reveals that white matter functional gradients show hemispheric symmetry in healthy adults, with distinct patterns in males and females. White matter functional gradients offer new insights into brain structure and function.

Keywords:
CCWMasymmetryfunctional gradientrs-fMRI

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Brain Connectivity

Background:

  • Functional magnetic resonance imaging (fMRI) studies traditionally focus on gray matter (GM) functional signals.
  • White matter (WM) signals, often dismissed as noise, also contain functional information.
  • Functional gradients are key to understanding brain organization, but WM has been understudied.

Purpose of the Study:

  • To investigate the functional hierarchy within whole-brain white matter (WM) using functional gradients.
  • To explore hemispheric symmetry and gender differences in WM functional organization.
  • To analyze the relationship between WM structure and function, particularly in the corpus callosum (CC).

Main Methods:

  • Utilized the principal functional gradient of whole-brain WM in healthy individuals.
  • Accounted for gender differences in the analysis.
  • Examined functional gradient values within the spatial structure of the corpus callosum (CC).

Main Results:

  • Demonstrated symmetrical functional hierarchy in the left and right brain hemispheres within WM.
  • Observed similar degrees of regional asymmetry in both males and females, with unique variations.
  • Found no simple one-to-one mapping between CC structure and function, suggesting complex internal connectivity.

Conclusions:

  • WM functional gradients provide a novel approach to studying WM structural and functional characteristics.
  • These findings offer insights into the neural activity regulation between GM and WM.
  • Highlights the importance of considering WM in brain functional organization studies.