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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion tensor imaging and tract-based spatial statistics in Alzheimer's disease and mild cognitive impairment
Yawu Liu1, Gabriela Spulber, Kimmo K Lehtimäki
1Department of Clinical Radiology, Kuopio University Hospital, P.O. Box 1777, FI-70211 Kuopio, Finland.
Neurobiology of Aging
|November 17, 2009
Summary
Diffusion tensor imaging reveals significant white matter changes in Alzheimer's disease (AD) and mild cognitive impairment (MCI). Tract-Based Spatial Statistics effectively identifies neurodegeneration in these conditions.
Area of Science:
- Neuroimaging
- Neurology
- Medical Imaging
Background:
- Mild cognitive impairment (MCI) and Alzheimer's disease (AD) are associated with neurodegeneration.
- Diffusion tensor imaging (DTI) is a valuable tool for assessing white matter integrity.
Purpose of the Study:
- To investigate changes in fractional anisotropy (FA) in MCI and AD using DTI.
- To evaluate the efficacy of Tract-Based Spatial Statistics (TBSS) in detecting white matter abnormalities.
Main Methods:
- Collected DTI data from 17 AD patients, 27 MCI subjects, and 19 healthy controls.
- Utilized voxel-based analysis with TBSS to compare FA across groups.
- Performed region of interest (ROI)-based analysis guided by TBSS findings.
Main Results:
- Identified decreased FA in multiple neurofiber tracts, including the parahippocampal white matter, cingulum, and corpus callosum.
- Observed significantly lower FA in AD patients compared to controls.
- Found intermediate FA values in MCI patients, between controls and AD patients.
Conclusions:
- TBSS is a promising method for examining neurofiber tract degeneration in MCI and AD.
- DTI analysis can reveal distinct patterns of white matter changes in cognitive impairment and dementia.
