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Updated: Jul 23, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
The association of diffusion tensor MRI measures of normal appearing white matter and cognition
Yi Lin Ng1, Chuen Seng Tan1, Marco Egle2
1Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Objective:
Median and peak height of fractional anisotropy (FA) and mean diffusivity (MD) are diffusion tensor imaging (DTI) markers used to quantify white matter microstructure changes. We examine the association of DTI histogram-derived measures in global normal appearing white matter (NAWM) and cognitive decline in patients with normal cognition and cognitive impairment no dementia from a memory clinic in Singapore.
Methods:
A total of 252 patients (mean age: 71.1 ± 7.6 years, 53.2% women) were included. All patients underwent clinical assessments, a brain MRI scan at baseline, and neuropsychological assessments annually for 2 years. DTI scans were processed to obtain MD and FA histogram-derived measures. The National Institute of Neurological Disorders and Stroke and the Canadian Stroke Network harmonization neuropsychological battery were used to assess cognitive function. Linear regression models with generalised estimating equation (GEE) and logistic regression models were used to examine the association between DTI histogram measures and cognitive decline.
Results:
When compared to baseline, MD and FA measures at Year 2 were associated with an accelerated worsening in global cognition (all p for interaction <0.001; Year 0 vs 2, MD median: -0.29 (95%CI: -0.49, -0.09) vs -0.45 (95%CI: -0.65,-0.25); MD peak height: 0.22 (95%CI: 0.07, 0.37) vs 0.37 (95%CI: 0.21, 0.53); FA median: 0.11 (95%CI: -0.05, 0.26) vs 0.22 (95%CI: 0.07, 0.37); FA peak height: -0.14 (95%CI: -0.28, 0.00) vs -0.24 (95%CI: -0.38, -0.10);). Similar findings were observed for executive function and visuomotor speed while only MD measures predicted worsening in memory domain.
Interpretation:
This study shows that DTI histogram measures are associated with accelerated cognitive decline suggesting the utility of DTI as a pre-clinical marker in predicting the worsening of cognition in clinical trials.
Insights
Diffusion tensor imaging (DTI) markers like mean diffusivity (MD) and fractional anisotropy (FA) can predict cognitive decline. These DTI histogram measures show utility as pre-clinical markers for worsening cognition in clinical trials.
Area of Science:
- Neuroimaging
- Neuroscience
- Biomedical Engineering
Background:
- White matter microstructure changes are assessed using diffusion tensor imaging (DTI) markers such as fractional anisotropy (FA) and mean diffusivity (MD).
- These DTI histogram-derived measures are crucial for quantifying microstructural alterations in normal-appearing white matter (NAWM).
- Cognitive decline is a significant concern in aging populations and individuals with cognitive impairment.
Purpose of the Study:
- To investigate the association between DTI histogram measures in global NAWM and cognitive decline.
- To determine if DTI markers can serve as pre-clinical indicators of cognitive worsening.
- To evaluate the predictive value of DTI in patients with normal cognition and cognitive impairment no dementia.
Main Methods:
- A cohort of 252 patients underwent baseline clinical and MRI assessments, including DTI scans.
- Neuropsychological assessments were conducted annually for 2 years to evaluate cognitive function.
- Linear regression models with generalized estimating equations (GEE) and logistic regression were employed to analyze DTI histogram measures and cognitive decline.
Main Results:
- DTI measures (MD and FA) at Year 2 were significantly associated with accelerated worsening in global cognition.
- Similar associations were found for executive function and visuomotor speed.
- Mean diffusivity (MD) measures specifically predicted worsening in the memory domain.
Conclusions:
- DTI histogram measures are linked to accelerated cognitive decline, highlighting their potential as pre-clinical markers.
- DTI shows promise as a tool for predicting cognitive worsening in research and clinical settings.
- These findings support the use of DTI in clinical trials for monitoring cognitive changes.
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