Related Experiment Video
Updated: Sep 22, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
DTI-ALPS as a Biomarker of Small Vessel Disease Progression and Amyloid-β in Normal Aging: A 3-Year Longitudinal
Narges Azizi1, Hoda Borooghani1, Iman Kiani2
1Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Abstract:
Cerebral small vessel disease (SVD) is a leading cause of stroke, vascular cognitive impairment, and functional decline in older adults. Emerging experimental and translational data implicate glymphatic dysfunction in SVD pathogenesis and in vascular amyloid accumulation. The analysis along the perivascular space (ALPS) index, derived from diffusion tensor imaging (DTI), noninvasively estimates water diffusivity along perivascular pathways and has been proposed as an indirect imaging marker related to glymphatic function. In this study, we aim to determine whether the baseline DTI-ALPS index is associated with baseline SVD burden and subsequent longitudinal changes in SVD markers and amyloid-β deposition in cognitively normal aging. We analyzed 204 cognitively normal participants from the Harvard Aging Brain Study with baseline and follow-up visits separated by 3 years. Primary MRI SVD outcomes were intracranial-volume-normalized white matter hyperintensities (WMH/ICV), and visual SVD ratings (Fazekas, ARWMC, perivascular space, and BOMBS [microbleed scale]). Secondary outcomes included cortical amyloid PET burden (PIB_FS_DVR_FLR). We tested the effects of time, baseline ALPS (z-scored), and the time-ALPS interaction using Bayesian mixed-effects models with subject-specific random intercepts adjusted for baseline age, sex, and education; amyloid models were additionally adjusted for APOE4 status. Continuous outcomes were modeled with Gaussian mixed-effects models, binary outcomes with Bernoulli mixed-effects models, and ordinal outcomes with Bayesian cumulative mixed-effects models. In a sensitivity analysis, ALPS was recalculated after excluding voxels with λ2/λ3 > 1.8, and the models were repeated using the crossing-fiber-adjusted index. Posterior means and 95% HDIs were the primary summaries. Multiplicity was controlled using the Benjamini-Hochberg false discovery rate procedure, and the resulting FDR-adjusted two-sided posterior tail-area p-analogues are reported as pcorrected. Over the 3-year follow-up, SVD and amyloid-β burden increased: WMH/ICV (β = 0.096, 95% HDI [0.069, 0.121], pcorrected < 0.001), cortical amyloid-β (β = 0.130, 95% HDI [0.106, 0.152], pcorrected < 0.001), Fazekas (β = 0.320, 95% HDI [0.088, 0.541], pcorrected = 0.010), ARWMC (β = 0.404, 95% HDI [0.165, 0.649], pcorrected = 0.004), basal ganglia (β = 0.318, 95% HDI [0.079, 0.546], pcorrected = 0.010), and centrum semiovale (β = 0.244, 95% HDI [0.026, 0.450], pcorrected = 0.025). PVS scores also increased over time. Higher baseline ALPS was associated with lower Fazekas severity (β = -0.742, 95% HDI [-1.281, -0.201], pcorrected = 0.026) and with attenuated amyloid accumulation over time (β = -0.025, 95% HDI [-0.049, -0.001], pcorrected = 0.039). In a sensitivity analysis excluding voxels with a high likelihood of substantial fiber crossing, the ALPS-by-time interaction for amyloid burden remained significant (β = -0.028, 95% HDI [-0.052, -0.003], pcorrected = 0.022), whereas the baseline association with Fazekas severity was attenuated (β = -0.413, 95% HDI [-0.966, 0.181], pcorrected = 0.751). Higher baseline WMH/ICV was associated with poorer baseline global cognition (PACC5) (β = -0.092, 95% HDI [-0.177, -0.011], pcorrected = 0.036), processing speed (β = -0.116, 95% HDI [-0.223, -0.010], pcorrected = 0.036), and executive function (β = -0.144, 95% HDI [-0.251, -0.029], pcorrected = 0.035). Higher baseline amyloid burden was associated with steeper PACC5 decline (β = -0.065, 95% HDI [-0.096, -0.033], pcorrected < 0.001). In cognitively normal older adults, higher conventional baseline ALPS was associated with lower Fazekas severity, although attenuation after crossing-fiber adjustment indicates that this cross-sectional relationship was sensitive to the microstructural composition of the ALPS regions. In contrast, higher baseline ALPS was associated with slower short-term amyloid-β accumulation, and this longitudinal association remained significant after crossing-fiber adjustment. Greater baseline amyloid burden was associated with more rapid decline in global cognition, whereas higher baseline WMH volume was associated with poorer baseline global cognition, processing speed, and executive function. These findings support ALPS as a candidate noninvasive diffusion marker associated with longitudinal amyloid-related change, while emphasizing the need for further validation of its relationship with SVD burden and its biological specificity.

