ArticleNeuroImage. Clinical2013
Diffusion tensor imaging of nigral degeneration in Parkinson's disease: A region-of-interest and voxel-based study at 3 T and systematic review with meta-analysis.
Article in NeuroImage. Clinical, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 4 of them syntheses that pooled it.
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Who cites it
94 citing papers in PubMed, 4 syntheses or guidelines pooled it, 166 citations in OpenAlex.
- Altered white matter microarchitecture in Parkinson's disease: a voxel-based meta-analysis of diffusion tensor imaging studies.Frontiers of medicine · 2021Pooled it
- A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson's disease.Scientific reports · 2018Pooled it
- Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis.European radiology · 2017Pooled it
- Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis.NeuroImage. Clinical · 2017Pooled it
- Magnetic resonance T1w/T2w ratio: A parsimonious marker for Parkinson disease.Annals of neurology · 2019Trial
- Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging.Magma (New York, N.Y.) · 2026Article
- Neural network plasticity in Parkinson's disease: the impact of exercise-driven modulation.Frontiers in rehabilitation sciences · 2026Article
- Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain-Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases.Applied sciences (Basel, Switzerland) · 2025Article
- Cross-modal fusion of brain imaging and clinical data for Parkinson's disease progression prediction.PloS one · 2025Article
- Increased mean diffusivity of the caudal motor SNc identifies patients with REM sleep behaviour disorder and Parkinson's disease.NPJ Parkinson's disease · 2024Article
- White matter biomarker for predicting de novo Parkinson's disease using tract-based spatial statistics: a machine learning-based model.Quantitative imaging in medicine and surgery · 2024Article
- Prevention of Parkinson's Disease: From Risk Factors to Early Interventions.CNS & neurological disorders drug targets · 2024Review
- Imaging Biomarkers in Prodromal and Earliest Phases of Parkinson's Disease.Journal of Parkinson's disease · 2024Review
- How should we be using biomarkers in trials of disease modification in Parkinson's disease?Brain : a journal of neurology · 2023Article
- Article
- The applied value in brain gray matter nuclei of patients with early-stage Parkinson's disease : a study based on multiple magnetic resonance imaging techniques.Head & face medicine · 2023Article
- White Matter Microstructural Alterations in Newly Diagnosed Parkinson's Disease: A Whole-Brain Analysis Using dMRI.Brain sciences · 2022Article
- Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease.NPJ Parkinson's disease · 2022Review
- Pragmatic Approach on Neuroimaging Techniques for the Differential Diagnosis of Parkinsonisms.Movement disorders clinical practice · 2022Review
- 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
34 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is increasing interest in developing a reliable, affordable and accessible disease biomarker of Parkinson's disease (PD) to facilitate disease modifying PD-trials. Imaging biomarkers using magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) can describe parameters such as fractional anisotropy (FA), mean diffusivity (MD) or apparent diffusion coefficient (ADC). These parameters, when measured in the substantia nigra (SN), have not only shown promising but also varying and controversial results. To clarify the potential diagnostic value of nigral DTI in PD and its dependency on selection of region-of-interest, we undertook a high resolution DTI study at 3 T. 59 subjects (32 PD patients, 27 age and sex matched healthy controls) were analysed using manual outlining of SN and substructures, and voxel-based analysis (VBA). We also performed a systematic literature review and meta-analysis to estimate the effect size (DES) of disease related nigral DTI changes. We found a regional increase in nigral mean diffusivity in PD (mean ± SD, PD 0.80 ± 0.10 vs. controls 0.73 ± 0.06 · 10(- 3) mm(2)/s, p = 0.002), but no difference using a voxel based approach. No significant disease effect was seen using meta-analysis of nigral MD changes (10 studies, DES = + 0.26, p = 0.17, I(2) = 30%). None of the nigral regional or voxel based analyses of this study showed altered fractional anisotropy. Meta-analysis of 11 studies on nigral FA changes revealed a significant PD induced FA decrease. There was, however, a very large variation in results (I(2) = 86%) comparing all studies. After exclusion of five studies with unusual high values of nigral FA in the control group, an acceptable heterogeneity was reached, but there was non-significant disease effect (DES = - 0.5, p = 0.22, I(2) = 28%). The small PD related nigral MD changes in conjunction with the negative findings on VBA and meta-analysis limit the usefulness of nigral MD measures as biomarker of Parkinson's disease. The negative results of nigral FA measurements at regional, sub-regional and voxel level in conjunction with the results of the meta-analysis of nigral FA changes question the stability and validity of this measure as a PD biomarker.
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