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Related Experiment Video

Updated: Jun 23, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: revisited.

Caroline A Sage1, Wim Van Hecke, Ronald Peeters

  • 1Department of Radiology, University Hospitals of the Catholic University of Leuven, Leuven, Belgium.

Human Brain Mapping
|May 1, 2009
PubMed
Summary
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Optimized spatial normalization techniques for diffusion tensor imaging (DTI) improve voxel-based analyses (VBA) and tract-based spatial statistics (TBSS) in amyotrophic lateral sclerosis (ALS) research. These advanced methods yield more reliable results, supporting ALS as a multisystem disease affecting the frontotemporal lobe.

Area of Science:

  • Neuroimaging
  • Neurology
  • Biomedical Engineering

Background:

  • Voxel-based analyses (VBA) using diffusion tensor imaging (DTI) are common for detecting white matter abnormalities in various pathologies.
  • The accuracy of VBA statistical inferences heavily relies on the quality of DTI spatial normalization.
  • Existing methods may not fully capture spatial and orientational diffusion information, impacting results.

Purpose of the Study:

  • To evaluate the impact of advanced DTI spatial normalization techniques on VBA for amyotrophic lateral sclerosis (ALS).
  • To compare the results of optimized VBA with tract-based spatial statistics (TBSS) for enhanced interpretation.
  • To investigate ALS as a multisystem disease by analyzing white matter changes.

Main Methods:

  • Reanalyzed previous VBA of fractional anisotropy and mean diffusivity in ALS patients versus controls using an optimized DTI coregistration algorithm and a population-based DTI atlas.

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Last Updated: Jun 23, 2026

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  • Performed a complementary tract-based spatial statistics (TBSS) analysis.
  • Utilized high-dimensional nonrigid coregistration techniques for improved alignment of spatial and orientational diffusion information.

    • Main Results:

    • Optimized normalization techniques significantly reduced variance in diffusion properties.
    • Both optimized VBA and TBSS yielded more reliable voxel-wise statistical results compared to previous methods.
    • The VBA and TBSS analyses produced highly similar outcomes.
    • Findings support the view of ALS as a multisystem disease involving the entire frontotemporal lobe.

    Conclusions:

    • Advanced DTI normalization techniques enhance the reliability of voxel-wise statistical analyses in neuroimaging studies.
    • Optimized VBA and TBSS are valuable tools for detecting white matter abnormalities in diseases like ALS.
    • The study reinforces the understanding of ALS as a complex multisystem disorder affecting widespread brain regions.