ArticleFrontiers in aging neuroscience2023
Quantitative iron-neuromelanin MRI associates with motor severity in Parkinson's disease and matches radiological disease classification.
Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- Biological heterogeneity in Parkinson's disease: implications for MRI-based patient stratification.NPJ Parkinson's disease · 2026Review
- Neuroimaging of the monoaminergic system in Parkinson's disease: A narrative review.Neuroimage. Reports · 2026Review
- Serum ferritin, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio are associated with levodopa-induced dyskinesia severity in Parkinson's disease.BMC neurology · 2026Article
- Magnetic resonance imaging in Parkinson's disease: from routine imaging to molecular biomarkers - an update for radiologists.Polish journal of radiology · 2026Review
- Integrated evaluation of Nigrosome 1 sign, neuromelanin-sensitive MR and iron deposition.Japanese journal of radiology · 2026Article
- Deep learning-based susceptibility map-weighted imaging analysis of dorsal nigral hyperintensity as a surrogate for dopamine transporter positron emission tomography in patients with idiopathic rapid eye movement sleep behavior disorder.Frontiers in neurology · 2026Article
- Evaluating the efficacy of probiotics in treating Parkinson's disease model rats using magnetic resonance enhanced gradient echo T2-weighted angiography sequence.Frontiers in neuroscience · 2025Article
- Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson's disease.European radiology · 2024Article
- Neuroimaging and fluid biomarkers in Parkinson's disease in an era of targeted interventions.Nature communications · 2024Review
- Classification of Parkinson's disease by deep learning on midbrain MRI.Frontiers in aging neuroscience · 2024Article
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Authors and funding
16 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neuromelanin- and iron-sensitive MRI studies in Parkinson's disease (PD) are limited by small sample sizes and lack detailed clinical correlation. In a large case-control PD cohort, we evaluated the diagnostic accuracy of quantitative iron-neuromelanin MRI parameters from the substantia nigra (SN), their radiological utility, and clinical association. Methods: PD patients and age-matched controls were prospectively recruited for motor assessment and midbrain neuromelanin- and iron-sensitive [quantitative susceptibility mapping (QSM) and susceptibility map-weighted imaging (SMWI)] MRI. Quantitative neuromelanin-iron parameters from the SN were assessed for their discriminatory performance in PD classification using ROC analysis compared to those of qualitative visual classification by radiological readers of differential experience and used to predict motor severity. Results: In total, 191 subjects (80 PD, mean age 65.0 years; 111 controls, 65.6) were included. SN masks showed (a) higher mean susceptibility ( Conclusion: Quantitative neuromelanin-iron MRI is associated with PD motor severity and matched best-performing radiological PD classification using SMWI, with the potential to improve diagnostic confidence in the clinics and track disease progression and response to neuroprotective therapies.
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