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

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Published on: July 28, 2013

Microstructural white matter abnormalities in type 2 diabetes mellitus: a diffusion tensor imaging study.

Jung-Lung Hsu1, Yen-Ling Chen, Jyu-Gang Leu

  • 1Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.

Neuroimage
|October 5, 2011
PubMed
Summary

Diffusion tensor imaging (DTI) detects white matter abnormalities in type 2 diabetes mellitus (T2DM) patients. These microstructural changes correlate with disease duration, even without cognitive impairment.

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Area of Science:

  • Neuroimaging
  • Endocrinology

Background:

  • Type 2 diabetes mellitus (T2DM) is associated with neurological complications.
  • Subtle white matter (WM) changes may precede cognitive decline in T2DM.

Purpose of the Study:

  • To investigate DTI's ability to detect WM abnormalities in T2DM patients without cognitive complaints.
  • To examine associations between DTI measures and clinical parameters in T2DM.

Main Methods:

  • Diffusion tensor imaging (DTI) and conventional MRI were performed on 40 T2DM patients and 97 controls.
  • Voxel-based analysis assessed fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and transverse diffusivity (TD).
  • Correlations between DTI indices and clinical data (e.g., disease duration) were analyzed.

Main Results:

  • T2DM patients showed increased brain parenchymal MD, correlated with disease duration.
  • Decreased FA in frontal WM was observed in T2DM patients, primarily due to increased TD.
  • Significant associations were found between disease duration and microstructural properties in various brain regions.

Conclusions:

  • DTI can detect microstructural WM abnormalities in T2DM patients, even in the absence of cognitive complaints.
  • These DTI-detected abnormalities are associated with disease duration and specific clinical parameters.
  • DTI shows promise for monitoring neurological changes in T2DM.