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Related Experiment Video

Updated: Jun 23, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography.

Sila Genc^1,2,3, Simona Schiavi^1,4,5, Maxime Chamberland^1,6

¹Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.

Network Neuroscience (Cambridge, Mass.)

|October 2, 2024

Summary

This study reveals how white matter microstructure influences brain network development in children and adolescents. Microstructure-informed connectomes show increasing global efficiency in key brain networks during development.

Keywords:

Connectivity Cortical Development Diffusion Microstructure-informed tractography

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Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

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Published on: August 11, 2016

Area of Science:

Neuroscience
Developmental Neuroscience
Computational Neuroscience

Background:

Brain connectivity assessments are crucial for understanding neurodevelopment.
Integrating white matter microstructure offers a more refined approach to structural connectomes.

Purpose of the Study:

To integrate white matter fiber-specific microstructural properties into structural connectomes.
To explore age-related patterns of microstructure-informed network properties in a developmental sample (ages 8-19).
To evaluate network characteristics within functionally defined brain networks.

Main Methods:

Constructed diffusion-weighted signal fraction for each tractography-reconstructed streamline.
Employed the convex optimization modeling for microstructure-informed tractography (COMMIT) approach.
Evaluated network characteristics within eight functionally defined networks.

Main Results:

Global efficiency consistently increased across development in visual, somatomotor, and default mode networks.
Mean strength showed an upward trend in somatomotor and visual networks.
Significant age-dependent changes in local efficiency were observed in dorsal and ventral visual pathways.

Conclusions:

Microstructure-informed connectomes reveal significant developmental changes in brain network properties.
Findings support a prolonged developmental trajectory for visual association cortices.
This study provides insights into microstructure-informed brain connectivity dynamics during development.