ArticleFrontiers in aging neuroscience2022
Quantitative susceptibility mapping and blood neurofilament light chain differentiate between parkinsonian disorders.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Cerebrospinal fluid and blood neurofilament light chain in Parkinson's disease and atypical parkinsonian syndromes: a systematic review and Bayesian network meta-analysis.Journal of neurology · 2025Pooled it
- The PSP subcortical atlas - a new neuroimaging atlas for progressive supranuclear palsy Richardson's syndrome.NeuroImage. Clinical · 2026Article
- Patterns of iron deposition and classification in parkinsonian syndromes: a quantitative susceptibility mapping study.Journal of neurology · 2026Article
- Biomarkers stewardship in parkinsonism: integrating alpha-synuclein seed amplification assays and neurofilament light chain into diagnostic pathways and patient communication.Journal of neurology · 2026Review
- Review
- Biomarkers of disease progression in progressive supranuclear palsy for use in clinical trials.Brain communications · 2025Review
- Brainstem and cerebellar radiological findings in progressive supranuclear palsy.Brain communications · 2025Review
- Iron Deposition in Parkinson's Disease: A Mini-Review.Cellular and molecular neurobiology · 2024Review
- Multidimensional biomarkers for multiple system atrophy: an update and future directions.Translational neurodegeneration · 2023Review
- Head-to-head comparison of 6 plasma biomarkers in early multiple system atrophy.NPJ Parkinson's disease · 2023Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: We employed quantitative susceptibility mapping (QSM) to assess iron deposition in parkinsonian disorders and explored whether combining QSM values and neurofilament light (NfL) chain levels can improve the accuracy of distinguishing Parkinson's disease (PD) from multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). Materials and methods: Forty-seven patients with PD, 28 patients with MSA, 18 patients with PSP, and 28 healthy controls (HC) were enrolled, and QSM data were reconstructed. Susceptibility values in the bilateral globus pallidus (GP), putamen (PUT), caudate nucleus (CN), red nucleus (RN), substantia nigra (SN), and dentate nucleus (DN) were obtained. Plasma NfL levels of 47 PD, 18 MSA, and 14 PSP patients and 22 HC were measured by ultrasensitive Simoa technology. Results: The highest diagnostic accuracy distinguishing MSA from PD patients was observed with increased susceptibility values in CN (AUC: 0.740). The susceptibility values in RN yielded the highest diagnostic performance for distinguishing PSP from PD patients (AUC: 0.829). Plasma NfL levels were significantly higher in the MSA and PSP groups than in PD and HC groups. Combining the susceptibility values in the RN and plasma NfL levels improved the diagnostic performance for PSP vs. PD (AUC: 0.904), whereas plasma NfL levels had higher diagnostic accuracy for MSA vs. PD (AUC: 0.877). Conclusion: The exploratory study indicates different patterns of iron accumulation in deep gray matter nuclei in Parkinsonian disorders. Combining QSM values with NfL levels may be a promising biomarker for distinguishing PSP from PD, whereas plasma NfL may be a reliable biomarker for differentiating MSA from PD. QSM and NfL measures appeared to have low accuracy for separating PD from controls.
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