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Updated: Sep 12, 2025

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

Estimating Brain Similarity Networks With Diffusion MRI.

Amir Sadikov^1,2, Hannah L Choi¹, Lanya T Cai¹

¹Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.

Human Brain Mapping

|August 9, 2025

Summary

This summary is machine-generated.

Diffusion similarity networks (DSNs) map brain structure using diffusion MRI. DSNs reveal detailed organization, correlate with other connectomes, and offer insights into neurological conditions.

Keywords:

brain networks connectome diffusion MRI gray matter microstructure morphometric similarity structural covariance

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Area of Science:

Neuroimaging
Brain network organization
Computational neuroscience

Background:

Structural similarity is a key method for mapping human brain networks.
Diffusion magnetic resonance imaging (dMRI) provides data for brain mapping.

Purpose of the Study:

To introduce diffusion similarity networks (DSNs) for mapping gray matter structural organization.
To evaluate DSNs' effectiveness compared to existing methods.

Main Methods:

Employing rotationally invariant spherical harmonic features from dMRI.
Mapping gray matter structural organization using DSNs.
Comparing DSNs with prior approaches and other connectomes.

Main Results:

DSNs demonstrated clearer laminar, cytoarchitectural, and micro-architectural organization.
DSNs showed greater sensitivity to age, cognition, and sex, with higher heritability.
DSNs correlated with functional, structural, and gene expression connectomes, aligning with cortical organization axes.

Conclusions:

DSNs offer a novel approach to mapping brain structural organization using dMRI.
DSNs provide complementary information to white matter connectivity and are applicable to non-cortical regions.
DSNs hold potential for investigating neurological and psychiatric conditions.