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Updated: Jun 2, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion tensor imaging and cognition in cerebral small vessel disease: the RUN DMC study
Anouk G W van Norden1, Karlijn F de Laat, Ewoud J van Dijk
1Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Department of Neurology, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands. a.vannorden@neuro.umcn.nl
Background:
Cerebral small vessel disease (SVD) is very common in elderly and related to cognition, although this relation is weak. This might be because the underlying pathology of white matter lesions (WML) is diverse and cannot be properly appreciated with conventional FLAIR MRI. In addition, conventional MRI is not sensitive to early loss of microstructural integrity of the normal appearing white matter (NAWM), which might be an important factor. Diffusion tensor imaging (DTI) provides alternative information on microstructural white matter integrity and we have used this to investigate the relation between white matter integrity, in both WML and NAWM, and cognition among elderly with cerebral SVD.
Methods:
The RUN DMC study is a prospective cohort study among 503 independently living, non-demented elderly with cerebral SVD aged between 50 and 85 years. All subjects underwent MRI and DTI scanning. WML were segmented manually. We measured mean diffusivity (MD) and fractional anisotropy (FA), as assessed by DTI in both WML and NAWM.
Results:
Inverse relations were found between MD in the WML and NAWM and global cognitive function (β=-.11, p<0.05; β=-.18, p<0.001), psychomotor speed (β=-.15, p<0.01; β=-.18, p<0.001), concept shifting (β=-.11, p<0.05; β=-.10, p<0.05) and attention (β=-.12, p<0.05; β=-.15, p<0.001). The relation between DTI parameters in both WML and NAWM and cognitive performance was most pronounced in subjects with severe WML.
Conclusion:
DTI parameters in both WML and NAWM correlate with cognitive performance, independent of SVD. DTI may be a promising tool in exploring the mechanisms of cognitive decline and could function as a surrogate marker for disease progression in therapeutic trials. This article is part of a Special Issue entitled: Imaging Brain Aging and Neurodegenerative disease.
Insights
Diffusion tensor imaging (DTI) reveals white matter integrity is linked to cognitive function in elderly individuals with cerebral small vessel disease (SVD). This advanced MRI technique may help track cognitive decline and disease progression.
Area of Science:
- Neuroimaging
- Geriatric Medicine
- Cognitive Neuroscience
Background:
- Cerebral small vessel disease (SVD) is prevalent in the elderly, with a weak association to cognition.
- Conventional MRI (FLAIR) has limitations in assessing white matter lesion (WML) diversity and early microstructural changes in normal-appearing white matter (NAWM).
- Diffusion tensor imaging (DTI) offers novel insights into white matter microstructural integrity.
Purpose of the Study:
- To investigate the relationship between white matter integrity (in WML and NAWM) and cognitive function in elderly individuals with SVD using DTI.
- To explore DTI's potential in understanding cognitive decline mechanisms in SVD.
Main Methods:
- Prospective cohort study (RUN DMC) of 503 non-demented elderly individuals (50-85 years) with SVD.
- All participants underwent MRI and DTI scanning.
- Mean diffusivity (MD) and fractional anisotropy (FA) were measured in WML and NAWM.
Main Results:
- Inverse correlations were found between MD in WML and NAWM and global cognitive function, psychomotor speed, concept shifting, and attention.
- These DTI-cognition relationships were more pronounced in individuals with severe WML.
- DTI parameters in both WML and NAWM correlated with cognitive performance, independent of SVD severity.
Conclusions:
- DTI parameters in white matter lesions and normal-appearing white matter are associated with cognitive performance in elderly individuals with SVD.
- DTI shows promise for elucidating cognitive decline mechanisms and serving as a surrogate marker in SVD therapeutic trials.
- This research contributes to the understanding of brain aging and neurodegenerative diseases through advanced neuroimaging.
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