ReviewFrontiers in neurology2020
The Role of Magnetic Resonance Imaging for the Diagnosis of Atypical Parkinsonism.
Review in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed, 50 citations in OpenAlex.
- Editorial for "Mapping Neurodegenerative Changes in Clinically Uncertain Parkinsonian Syndrome Patients Using Fast MR Spin TomogrAphy in Time-Domain (MR-STAT) Relaxometry at 3 T".Journal of magnetic resonance imaging : JMRI · 2026Article
- Utility of Locus Coeruleus Signal Intensity on High-resolution T1-weighted MR Imaging with Magnetization Transfer for Differentiating Parkinson's Disease from Atypical Parkinsonism.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Novel applications of machine learning and computational neuroscience models to neuroimaging in Parkinson's disease and related disorders.Frontiers in aging neuroscience · 2026Review
- Data-driven subtyping of Parkinson's disease using MRI: current insights, challenges, and future directions.Frontiers in aging neuroscience · 2026Review
- MRI-derived atrophy in multiple system atrophy aligns with mitochondrial and glial gene expression patterns.NPJ Parkinson's disease · 2025Article
- Bedside Assessment of Downgaze Limit by Amplitude.Movement disorders clinical practice · 2025Article
- Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof-of-Concept Study.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Quantitative MRI-based decision model for early-stage parkinsonism diagnosis: a pilot feasibility study.Neuroimage. Reports · 2025Article
- Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders.Brain sciences · 2025Review
- Article
- Magnetic Resonance Imaging and Nuclear Imaging of Parkinsonian Disorders: Where do we go from here?Current neuropharmacology · 2024Review
- Simple biomarkers to distinguish Parkinson's disease from its mimics in clinical practice: a comprehensive review and future directions.Frontiers in neurology · 2024Review
- Altered Cerebral Vasoreactivity on Transcranial Color-Coded Sonography Related to Akinetic-Rigid Phenotype of Parkinson's Disease: Interim Analysis of a Cross-Sectional Study.Brain sciences · 2023Article
- Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions.Frontiers in aging neuroscience · 2023Review
- Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms.European journal of neurology · 2022Article
- Clinical Aspects of the Differential Diagnosis of Parkinson's Disease and Parkinsonism.Journal of clinical neurology (Seoul, Korea) · 2022Review
- Normative Data for Brainstem Structures, the Midbrain-to-Pons Ratio, and the Magnetic Resonance Parkinsonism Index.AJNR. American journal of neuroradiology · 2022Article
- Radiomics on routine T1-weighted MRI can delineate Parkinson's disease from multiple system atrophy and progressive supranuclear palsy.European radiology · 2021Article
- Imaging of Substantia Nigra in Parkinson's Disease: A Narrative Review.Brain sciences · 2021Review
- Neuroimaging Advances in Parkinson's Disease and Atypical Parkinsonian Syndromes.Frontiers in neurology · 2020Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis of Parkinson's disease and atypical Parkinsonism remains clinically difficult, especially at the early stage of the disease, since there is a significant overlap of symptoms. Multimodal MRI has significantly improved diagnostic accuracy and understanding of the pathophysiology of Parkinsonian disorders. Structural and quantitative MRI sequences provide biomarkers sensitive to different tissue properties that detect abnormalities specific to each disease and contribute to the diagnosis. Machine learning techniques using these MRI biomarkers can effectively differentiate atypical Parkinsonian syndromes. Such approaches could be implemented in a clinical environment and improve the management of Parkinsonian patients. This review presents different structural and quantitative MRI techniques, their contribution to the differential diagnosis of atypical Parkinsonian disorders and their interest for individual-level diagnosis.
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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.