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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

Using diffusion imaging to study human connectional anatomy.

Heidi Johansen-Berg¹, Matthew F S Rushworth

¹Centre for Functional MRI of the Brain, University of Oxford, Oxford OX39DU, United Kingdom. heidi@fmrib.ox.ac.uk

Annual Review of Neuroscience

|April 30, 2009

Summary

This summary is machine-generated.

Diffusion tractography reveals brain connections, aiding anatomical studies. However, further validation is needed to fully understand its capabilities and limitations in assessing structural connectivity.

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Area of Science:

Neuroimaging
Neuroanatomy
Biomedical Engineering

Background:

Diffusion imaging enables mapping of brain fiber pathways in living subjects.
This technique has provided new insights into in vivo human brain anatomy.
It allows for the definition of anatomical borders between brain regions.

Purpose of the Study:

To critically assess the validity of diffusion tractography for structural connectivity.
To compare diffusion tractography results with gold-standard tract tracing methods.
To identify challenges and areas for further validation of diffusion tractography.

Main Methods:

Review and discussion of diffusion tractography principles.
Comparison of diffusion tractography findings with established tract tracing techniques in animal models.
Critical evaluation of the technique's requirements for assessing structural connectivity.

Main Results:

Diffusion tractography offers novel insights into in vivo human brain anatomy.
It enables the identification of anatomical borders previously undefined in living brains.
Comparison with tract tracing highlights both opportunities and challenges.

Conclusions:

Diffusion tractography is a valuable tool for studying brain connectivity.
Further validation studies are crucial to precisely define its limitations.
Addressing current challenges will enhance the scope and reliability of this technique.