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Related Experiment Video

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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Mapping the human connectome at multiple scales with diffusion spectrum MRI.

Leila Cammoun1, Xavier Gigandet, Djalel Meskaldji

  • 1Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Switzerland. leila.cammoun@epfl.ch

Journal of Neuroscience Methods
|October 18, 2011
PubMed
Summary

Researchers developed a new method to map the human connectome using diffusion MRI tractography. This approach enables robust, automated construction and comparison of whole-brain structural connection matrices across individuals.

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Last Updated: May 28, 2026

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Published on: November 8, 2012

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • The human connectome, representing global brain structural connectivity, is increasingly accessible at millimeter resolution via MRI.
  • Mapping brain networks is crucial for understanding brain function and dysfunction.

Purpose of the Study:

  • To present a novel, automated method for mapping the human connectome.
  • To enable robust, large-scale, and statistically comparable analysis of brain structural connectivity.

Main Methods:

  • Utilized diffusion MRI tractography to generate structural connection matrices at five different scales.
  • Employed a template-based approach for matching cortical landmarks across subjects.
  • Developed automated post-processing steps for constructing normalized, anatomically organized connection matrices.

Main Results:

  • Demonstrated a method for selecting consistent regions of interest and identifying associated fiber tracts across subjects.
  • Facilitated straightforward construction and interpretation of whole-brain connection matrices.
  • Enabled statistical inter-subject comparison of brain connectivity at various scales.

Conclusions:

  • The proposed method offers a robust and automated approach to mapping the human connectome.
  • This technique allows for reproducible and reliable statistical comparisons of brain connectivity across individuals.
  • The method is validated through extensive testing for reproducibility and reliability.