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Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI.

Inge Timmers1,2, Alard Roebroeck1,3, Matteo Bastiani4

  • 1Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands.

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|December 22, 2016
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Neurite orientation dispersion and density imaging (NODDI) offers more specific white matter microstructural insights than diffusion tensor imaging (DTI). NODDI parameters like neurite density (NDI) and orientation dispersion (ODI) reveal distinct abnormalities, complementing DTI findings.

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Radiology

Background:

  • Diffusion tensor imaging (DTI) provides fractional anisotropy (FA) to assess white matter integrity.
  • Neurite orientation dispersion and density imaging (NODDI) offers more specific microstructural parameters: neurite density index (NDI) and orientation dispersion index (ODI).
  • Investigating white matter abnormalities in clinical populations requires advanced imaging techniques for precise characterization.

Purpose of the Study:

  • To compare NODDI-derived indices with DTI-derived indices in detecting white matter abnormalities.
  • To evaluate the added value of NODDI parameters (NDI, ODI) over FA in a clinical sample.
  • To determine the specificity and sensitivity of NODDI compared to DTI in identifying microstructural differences.

Main Methods:

  • Acquisition of diffusion-weighted images using multi-shell protocols in 8 healthy controls and 8 patients with inherited metabolic disease.
  • Analysis using both standard DTI and NODDI models.
  • Tract-based spatial statistics (TBSS) for group comparisons and evaluation of overlapping and unique contributions of different parameters.

Main Results:

  • Group differences in NDI and ODI were complementary and explained a significant portion of FA results.
  • NDI and ODI provided more regionally specific results and identified additional discriminative voxels compared to FA.
  • Single-shell NODDI analysis successfully reproduced group differences for ODI, but not NDI, from multi-shell data.

Conclusions:

  • NODDI provides added value to DTI by revealing specific microstructural substrates of white matter changes.
  • NODDI parameters offer greater specificity regarding microstructural underpinnings of white matter differences compared to FA.
  • Single-shell ODI analysis is feasible and may enable retrospective analysis of existing DTI datasets, enhancing diagnostic capabilities.