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Updated: Jan 2, 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

Individualized Cortical Parcellation Based on Diffusion MRI Tractography.

Meizhen Han^1,2,3, Guoyuan Yang^1,2,3, Hai Li^2,3,4

¹Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing 100871, China.

Cerebral Cortex (New York, N.Y. : 1991)

|December 10, 2019

Summary

This summary is machine-generated.

Individual brain mapping reveals unique anatomical connectivity patterns in cortical regions. This study developed a new framework to identify these personalized brain regions, highlighting significant individual differences in their spatial organization and connectivity.

Keywords:

brain atlas connectivity-based parcellation diffusion tractography individual variability

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Area of Science:

Neuroscience
Brain Imaging
Computational Anatomy

Background:

Cortical region topology varies individually, impacting structure-function relationship research.
Individualized anatomical connectivity mapping is less explored than functional connectivity approaches.
Understanding individual brain organization is crucial for personalized neuroscience.

Purpose of the Study:

To develop a novel framework for individualized anatomical connectivity-based cortical parcellation.
To investigate interindividual differences in the spatial and topographic features of these personalized cortical regions.
To explore the relationship between anatomical connectivity variability and individual brain organization.

Main Methods:

Utilized a high-quality, repeated-session diffusion magnetic resonance imaging (dMRI) dataset from 42 subjects.
Developed an in vivo anatomical connectivity-based parcellation framework to derive individual-specific cortical parcels.
Employed dMRI tractography to analyze and map anatomical connectivity patterns.

Main Results:

Individual-specific cortical parcels showed good within-individual reproducibility and captured interindividual differences.
Connectivity within these personalized parcels was significantly more homogeneous than in group atlases.
The position, size, and topography of anatomical parcels exhibited high intersubject variability, offering unique individual difference information.

Conclusions:

The developed framework successfully identified individualized cortical parcels with homogeneous anatomical connectivity.
These parcels demonstrate significant spatial variability across individuals, providing valuable insights for future functional studies.
This approach advances the understanding of individual brain organization and its link to structure-function relationships.