ArticleFrontiers in neuroscience2020
Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 32 citations in OpenAlex.
- Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes.Tomography (Ann Arbor, Mich.) · 2022Trial
- HIV-Associated Microstructural Abnormalities in Default Mode, Executive Control, and Salience Networks: Insights from Tensor-Valued Diffusion Encoding.Bioengineering (Basel, Switzerland) · 2026Article
- Microstructural maturation of the adult mouse brain.Communications biology · 2025Article
- Complementary MR measures of white matter and their relation to cardiovascular health and cognition.Scientific reports · 2025Article
- Denoising Improves Cross-Scanner and Cross-Protocol Test-Retest Reproducibility of Diffusion Tensor and Kurtosis Imaging.Human brain mapping · 2025Article
- Involvement of the left uncinate fasciculus in the amyotrophic lateral sclerosis: an exploratory longitudinal multi-modal neuroimaging and neuropsychological study.Brain structure & function · 2024Article
- Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment.Scientific reports · 2024Article
- Tensor-valued diffusion MRI detects brain microstructure changes in HIV infected individuals with cognitive impairment.Research square · 2024Article
- Optimal experimental design and estimation for q-space trajectory imaging.Human brain mapping · 2023Article
- MRI with generalized diffusion encoding reveals damaged white matter in patients previously hospitalized for COVID-19 and with persisting symptoms at follow-up.Brain communications · 2023Article
- Unique information from common diffusion MRI models about white-matter differences across the human adult lifespan.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Sensitivity of Diffusion MRI to White Matter Pathology: Influence of Diffusion Protocol, Magnetic Field Strength, and Processing Pipeline in Systemic Lupus Erythematosus.Frontiers in neurology · 2022Article
- Evidence for microscopic kurtosis in neural tissue revealed by correlation tensor MRI.Magnetic resonance in medicine · 2021Article
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- Diffusion Magnetic Resonance Imaging-Based Biomarkers for Neurodegenerative Diseases.International journal of molecular sciences · 2021Review
- Article
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13 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microstructure imaging by means of multidimensional diffusion encoding is increasingly applied in clinical research, with expectations that it yields a parameter that better correlates with clinical disability than current methods based on single diffusion encoding. Under the assumption that diffusion within a voxel can be well described by a collection of diffusion tensors, several parameters of this diffusion tensor distribution can be derived, including mean size, variance of sizes, orientational dispersion, and microscopic anisotropy. The information provided by multidimensional diffusion encoding also enables us to decompose the sources of the conventional fractional anisotropy and mean kurtosis. In this study, we explored the utility of the diffusion tensor distribution approach for characterizing white-matter degeneration in aging and in Parkinson disease by using double diffusion encoding. Data from 23 healthy older subjects and 27 patients with Parkinson disease were analyzed. Advanced age was associated with greater mean size and size variances, as well as smaller microscopic anisotropy. By analyzing the parameters underlying diffusion kurtosis, we found that the reductions of kurtosis in aging and Parkinson disease reported in the literature are likely driven by the reduction in microscopic anisotropy. Furthermore, microscopic anisotropy correlated with the severity of motor impairment in the patients with Parkinson disease. The present results support the use of multidimensional diffusion encoding in clinical studies and are encouraging for its future clinical implementation.
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