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Updated: Mar 24, 2026

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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Association between perivascular diffusion and white matter microstructural integrity, free water, Aβ burden, and
Zhiming Zeng1,2, Xin Jia1,2, Shushu Han3
1Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
Frontiers in Aging Neuroscience
|March 23, 2026
Summary
Diffusion kurtosis imaging analysis along the perivascular space (DKI-ALPS) offers a more accurate assessment of the glymphatic system (GS) function than diffusion tensor imaging analysis (DTI-ALPS). Longitudinal DKI-ALPS trajectories correlate strongly with amyloid-beta burden and cognitive decline.
Area of Science:
- Neuroimaging
- Neuroscience
- Biomedical Engineering
Background:
- Perivascular diffusion imaging is crucial for assessing the glymphatic system (GS).
- Traditional diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) is limited by microstructural alterations.
- Diffusion kurtosis imaging analysis along the perivascular space (DKI-ALPS) offers a potentially more robust method.
Purpose of the Study:
- To compare cross-sectional and longitudinal DKI-ALPS and DTI-ALPS.
- To investigate associations with white matter (WM) integrity, free water (FW), amyloid-beta (Aβ) burden, and cognitive impairment (CI).
Main Methods:
- 128 healthy controls (HCs) and 83 individuals with CI underwent multi-shell diffusion-weighted MRI (dMRI).
- Quantified DTI-ALPS and DKI-ALPS for GS function, peak width of skeletonized mean diffusivity (PSMD) for WM integrity, and FW-WM for extracellular fluid.
- Generalized linear models (GLMs) and functional principal component analysis (FPCA) were used to analyze group differences and longitudinal trajectories.
Main Results:
- CIs showed significantly lower DTI-ALPS and DKI-ALPS than HCs.
- Both DTI-ALPS and DKI-ALPS correlated negatively with PSMD and FW-WM.
- FPCA revealed distinct longitudinal trajectories between HCs and CIs, with DKI-ALPS trajectories showing stronger correlations with Aβ burden and cognitive performance.
Conclusions:
- DKI-ALPS provides a more accurate assessment of GS function than DTI-ALPS.
- Longitudinal DKI-ALPS trajectories are strongly associated with Aβ burden and cognitive decline, suggesting potential as a biomarker.

