ArticleNeuroradiology2020
Evaluation of white matter microstructure in patients with Parkinson's disease using microscopic fractional anisotropy.
Article in Neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes.Tomography (Ann Arbor, Mich.) · 2022Trial
- Racism and alterations in brain structure and function: A narrative review of emerging neuroimaging evidence in racialized individuals.Cognitive, affective & behavioral neuroscience · 2026Review
- Investigating microstructural changes between in vivo and perfused ex vivo marmoset brains using oscillating gradient and b-tensor encoded diffusion MRI at 9.4 T.Magnetic resonance in medicine · 2025Article
- Menstrual cycle-driven hormone concentrations co-fluctuate with white and gray matter architecture changes across the whole brain.Human brain mapping · 2024Article
- Tensor-valued diffusion MRI detects brain microstructure changes in HIV infected individuals with cognitive impairment.Research square · 2024Article
- Hippocampal microscopic fractional anisotropy is reduced in temporal lobe epilepsy.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Estimation of free water-corrected microscopic fractional anisotropy.Frontiers in neuroscience · 2023Article
- Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
purposeMicro fractional anisotropy (μFA) is more accurate than conventional fractional anisotropy (FA) for assessing microscopic tissue properties and can overcome limitations related to crossing white matter fibres. We compared μFA and FA for evaluating white matter changes in patients with Parkinson's disease (PD).
methodsWe compared FA and μFA measures between 25 patients with PD and 25 age- and gender-matched healthy controls using tract-based spatial statistics (TBSS) analysis. We also examined potential correlations between changes, revealed by conventional FA or μFA, and disease duration or Unified Parkinson's Disease Rating Scale (UPDRS)-III scores.
resultsCompared with healthy controls, patients with PD had significantly reduced μFA values, mainly in the anterior corona radiata (ACR). In the PD group, μFA values (primarily those from the ACR) were significantly negatively correlated with UPDRS-III motor scores. No significant changes or correlations with disease duration or UPDRS-III scores with tissue properties were detected using conventional FA.
conclusionμFA can evaluate microstructural changes that occur during white matter degeneration in patients with PD and may overcome a key limitation of FA.
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