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Related Experiment Video

Updated: Jun 27, 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

Connectivity gradients on tractography data: Pipeline and example applications.

Guilherme Blazquez Freches^1,2, Koen V Haak¹, Christian F Beckmann^1,3

¹Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.

Human Brain Mapping

|September 24, 2021

Summary

This summary is machine-generated.

This study introduces a new method using diffusion MRI tractography to map brain connectivity gradients in both gray and white matter. This approach helps reveal the underlying white matter tracts that shape brain organization.

Keywords:

connectivity gradients topography tractography

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Last Updated: Jun 27, 2026

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

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Published on: November 8, 2012

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

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Area of Science:

Neuroimaging
Computational Neuroscience
Brain Connectivity

Background:

Understanding topographical organization of gray matter connectivity is limited by unknown roles of white matter.
Diffusion MRI tractography is a key tool for assessing white matter connections.

Purpose of the Study:

To develop a novel method for uncovering organizational principles of gray and white matter connectivity.
To identify the specific white matter tracts contributing to observed connectivity gradients.

Main Methods:

Utilized diffusion magnetic resonance imaging (MRI) tractography combined with spectral embedding gradient mapping.
Developed a projection method to map connectivity gradients back onto input data, visualizing white matter tract contributions.
Applied the pipeline to identify gradients in prefrontal and occipital gray matter.

Main Results:

Successfully identified topographical connectivity gradients in prefrontal and occipital gray matter.
Demonstrated the ability to visualize and analyze connectivity gradients within white matter bundles themselves.
The projection method effectively highlighted contributions of specific white matter tracts to gray matter gradients.

Conclusions:

The proposed framework offers a generalized approach to assess structural brain connectivity organization.
It effectively links topographical organization to the underlying anatomical white matter features.
This method advances the understanding of how white matter architecture shapes brain functional and structural organization.