ReviewJAMA neurology2021
Emerging Neuroimaging Biomarkers Across Disease Stage in Parkinson Disease: A Review.
Review in JAMA neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
132 citing papers in PubMed, 4 syntheses or guidelines pooled it, 204 citations in OpenAlex.
- Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.Neuropsychology review · 2023Pooled it
- Research diagnostic criteria for mild cognitive impairment with Lewy bodies: A systematic review and meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Pooled it
- Brain microstructural alterations of depression in Parkinson's disease: A systematic review of diffusion tensor imaging studies.Human brain mapping · 2022Pooled it
- Effects of Exercise on Parkinson's Disease: A Meta-Analysis of Brain Imaging Studies.Frontiers in human neuroscience · 2022Pooled it
- Diffusion Magnetic Resonance Imaging Detects Progression in Parkinson's Disease: A Placebo-Controlled Trial of Rasagiline.Movement disorders : official journal of the Movement Disorder Society · 2022Trial
- Current potential biomarkers for Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis: review of literature.Dialogues in clinical neuroscience · 2026Review
- Volumetric and Intrastructural Characterization of the Substantia Nigra Using Optimized Synthetic MR Images Derived From Quantitative T1 Maps at 3 T.NMR in biomedicine · 2026Article
- A review of FDG-PET biomarker analysis methods in Parkinson's disease.Journal of Parkinson's disease · 2026Review
- Identifing two distinct cortical progression subtypes of Parkinson's disease through multimodal neuroimaging.European journal of nuclear medicine and molecular imaging · 2026Article
- Biological heterogeneity in Parkinson's disease: implications for MRI-based patient stratification.NPJ Parkinson's disease · 2026Review
- One-Year Substantia NigraMovement disorders : official journal of the Movement Disorder Society · 2026Article
- Advances in biomarkers for Parkinson's disease: from molecular pathology to precision diagnostics.Journal of Zhejiang University. Science. B · 2026Review
- Divergent Glymphatic Dysfunction and Free Water Pathology Underpin Distinct Mechanisms and Enable Differential Diagnosis in Parkinson's Disease and Multiple System Atrophy.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Changes in Saccadic Hypometria over Time to Monitor Parkinson's Disease Progression.Pharmaceutical medicine · 2026Observational
- Multi-omics approaches to parkinsonism: genomic, proteomic, and non-coding RNA perspectives.Molecular biology reports · 2026Review
- Superior dorsal nigral hyperintensity depiction at 7 T MRI using CLEAR-DESS improves diagnosis performance of Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Putative glymphatic dysfunction links extracellular fluid dysregulation to white matter degeneration and clinical impairment in amyotrophic lateral sclerosis.BMC medicine · 2026Article
- Iron accumulation in the substantia nigra is linked to functional network connectivity alterations in early-stage Parkinson's Disease: an exploratory study.NPJ Parkinson's disease · 2026Article
- Body Fluid-based Biomarkers for Cognitive Impairment in Parkinson's Disease.Annals of neurosciences · 2026Review
- Photonic and nanomaterial-driven optical biosensing strategies for Parkinson's disease.Mikrochimica acta · 2026Review
72 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Importance: Imaging biomarkers in Parkinson disease (PD) are increasingly important for monitoring progression in clinical trials and also have the potential to improve clinical care and management. This Review addresses a critical need to make clear the temporal relevance for diagnostic and progression imaging biomarkers to be used by clinicians and researchers over the clinical course of PD. Magnetic resonance imaging (diffusion imaging, neuromelanin-sensitive imaging, iron-sensitive imaging, T1-weighted imaging), positron emission tomography/single-photon emission computed tomography dopaminergic, serotonergic, and cholinergic imaging as well as metabolic and cerebral blood flow network neuroimaging biomarkers in the preclinical, prodromal, early, and moderate to late stages are characterized. Observations: If a clinical trial is being carried out in the preclinical and prodromal stages, potentially useful disease-state biomarkers include dopaminergic imaging of the striatum; metabolic imaging; free-water, neuromelanin-sensitive, and iron-sensitive imaging in the substantia nigra; and T1-weighted structural magnetic resonance imaging. Disease-state biomarkers that can distinguish atypical parkinsonisms are metabolic imaging, free-water imaging, and T1-weighted imaging; dopaminergic imaging and other molecular imaging track progression in prodromal patients, whereas other established progression biomarkers need to be evaluated in prodromal cohorts. Progression in early-stage PD can be monitored using dopaminergic imaging in the striatum, metabolic imaging, and free-water and neuromelanin-sensitive imaging in the posterior substantia nigra. Progression in patients with moderate to late-stage PD can be monitored using free-water imaging in the anterior substantia nigra, R2* of substantia nigra, and metabolic imaging. Cortical thickness and gyrification might also be useful markers or predictors of progression. Dopaminergic imaging and free-water imaging detect progression over 1 year, whereas other modalities detect progression over 18 months or longer. The reliability of progression biomarkers varies with disease stage, whereas disease-state biomarkers are relatively consistent in individuals with preclinical, prodromal, early, and moderate to late-stage PD. Conclusions and Relevance: Imaging biomarkers for various stages of PD are readily available to be used as outcome measures in clinical trials and are potentially useful in multimodal combination with routine clinical assessment. This Review provides a critically important template for considering disease stage when implementing diagnostic and progression biomarkers in both clinical trials and clinical care settings.
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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.