ArticleHuman brain mapping2018
Longitudinal white matter microstructural change in Parkinson's disease.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- Systematic Review and Meta-Analyses of Word Production Abilities in Dysfunction of the Basal Ganglia: Stroke, Small Vessel Disease, Parkinson's Disease, and Huntington's Disease.Neuropsychology review · 2024Pooled it
- Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review.Frontiers in neurology · 2020Pooled it
- Spatiotemporal profiling of white matter lesions and their contribution in the pathologies of Parkinson's disease animal models.GeroScience · 2026Article
- Neuroimaging of the monoaminergic system in Parkinson's disease: A narrative review.Neuroimage. Reports · 2026Review
- Fronto-caudate and callosal microstructural alterations: unveiling multimodal MRI biomarkers in early Parkinson's disease.The British journal of radiology · 2026Article
- Disruption of the white matter structural network and its association with clinical subtypes and disease progression in parkinson's disease.Brain imaging and behavior · 2026Article
- Separable, symptom specific alterations in brain microstructure associated with early-stage Parkinson's disease.Frontiers in neuroscience · 2026Article
- White matter microstructural alterations and brain metabolism distributions in Parkinson's disease.Brain imaging and behavior · 2025Article
- Review
- Parkinson's disease subtypes and their association with probable rapid eye movement sleep behavior disorder severity: a brainstem tractography and machine learning investigation.Brain imaging and behavior · 2025Article
- White matter lesions contribute to motor and non-motor disorders in Parkinson's disease: a critical review.GeroScience · 2025Review
- A worldwide study of white matter microstructural alterations in people living with Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Fractional Anisotropy is a More Sensitive Diagnostic Biomarker Than Mean Kurtosis for Patients with Parkinson Disease with Cognitive Dysfunction: A Diffusional Kurtosis Map Tract-Based Spatial Statistics Study.AJNR. American journal of neuroradiology · 2024Article
- A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease.The European journal of neuroscience · 2024Article
- Mild cognitive impairment in Parkinson's disease: current view.Frontiers in cognition · 2024Review
- Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson's disease.European radiology · 2023Article
- Levodopa responsiveness and white matter alterations in Parkinson's disease: A DTI-based study and brain network analysis: A cross-sectional study.Brain and behavior · 2022Article
- Investigating longitudinal changes to frontal cortico-striatal tracts in Huntington's disease: the IMAGE-HD study.Brain imaging and behavior · 2022Article
- White matter microstructure in Parkinson's disease with and without elevated rapid eye movement sleep muscle tone.Brain communications · 2022Article
- Progression of grey and white matter brain damage in Parkinson's disease: a critical review of structural MRI literature.Journal of neurology · 2021Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Postmortem studies of Parkinson's disease (PD) suggest that Lewy body pathology accumulates in a predictable topographical sequence, beginning in the olfactory bulb, followed by caudal brainstem, substantia nigra, limbic cortex, and neocortex. Diffusion-weighted imaging (DWI) is sensitive, if not specific, to early disease-related white matter (WM) change in a variety of traumatic and degenerative brain diseases. Although numerous cross-sectional studies have reported DWI differences in cerebral WM in PD, only a few longitudinal studies have investigated whether DWI change exceeds that of normal aging or coincides with regional Lewy body accumulation. This study mapped regional differences in the rate of DWI-based microstructural change between 29 PD patients and 43 age-matched controls over 18 months. Iterative within- and between-subject tensor-based registration was completed on motion- and eddy current-corrected DWI images, then baseline versus follow-up difference maps of fractional anisotropy, mean, radial, and axial diffusivity were analyzed in the Biological Parametric Mapping toolbox for MATLAB. This analysis showed that PD patients had a greater decline in WM integrity in the rostral brainstem, caudal subcortical WM, and cerebellar peduncles, compared with controls. In addition, patients with unilateral clinical signs at baseline experienced a greater rate of WM change over the 18-month study than patients with bilateral signs. These findings suggest that rate of WM microstructural change in PD exceeds that of normal aging and is maximal during early stage disease. In addition, the neuroanatomic locations (rostral brainstem and subcortical WM) of accelerated WM change fit with current theories of topographic disease progression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.