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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Tract-specific analysis of white matter pathways in healthy subjects: a pilot study using diffusion tensor MRI
Hasina Yasmin1, Shigeki Aoki, Osamu Abe
1Department of Radiology, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. yasmin-hasina@umin.ac.jp
Neuroradiology
|August 8, 2009
Summary
This study establishes normal diffusion tensor imaging metrics for key white matter tracts in healthy adults, providing a baseline for disease-related changes. Findings reveal age and laterality influence these diffusion properties.
Area of Science:
- Neuroimaging
- Diffusion Tensor Imaging (DTI)
- White Matter Tractography
Background:
- Limited data exists on normal diffusion properties of white matter (WM) fibers.
- Establishing normative data is crucial for identifying pathological changes in neurological diseases.
- This study focuses on key WM tracts: uncinate fasciculus (UF), posterior cingulum (PC), fornix, and corticospinal tract (CST).
Purpose of the Study:
- To create a database of normal diffusion tensor metrics for specific cerebral WM fibers in healthy adults.
- To investigate the influence of age and laterality on diffusion tensor metrics of these WM tracts.
- To utilize tract-specific analysis via diffusion tensor tractography (DTT).
Main Methods:
- Diffusion tensor tractography (DTT) was performed on 100 healthy subjects.
- Mean diffusivity (MD) and fractional anisotropy (FA) were measured for selected WM tracts.
- Statistical analyses included Pearson correlation for age effects and paired t testing for hemispheric asymmetry.
Main Results:
- Normative FA and MD values were established for UF, PC, fornix, and CST.
- Significant correlations were found between age and MD (right UF, bilateral fornices) and age and FA (bilateral fornices).
- Observed hemispheric asymmetries included FA in UF (right > left) and MD in CST (left > right).
Conclusions:
- The study provides a normative dataset for diffusion parameters of four critical WM tracts.
- This dataset serves as a reference for identifying and characterizing tract-specific changes in disease states.
- Age and laterality are significant factors influencing diffusion metrics in these white matter tracts.

