Evidence map›Paper›PMID 34459865›Full record

ReviewJAMA neurology2021

Emerging Neuroimaging Biomarkers Across Disease Stage in Parkinson Disease: A Review.

Trina Mitchell, Stéphane Lehéricy, Shannon Y Chiu, Antonio P Strafella, A Jon Stoessl, David E Vaillancourt

Open access · greenAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 4 pooled it
12.8field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

132 citing papers in PubMed, 4 syntheses or guidelines pooled it, 204 citations in OpenAlex.

  1. Pooled it
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  11. One-Year Substantia NigraMovement disorders : official journal of the Movement Disorder Society · 2026
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72 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Trina MitchellLaboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville.
Stéphane LehéricyParis Brain Institute, Centre de NeuroImagerie de Recherche, INSERM 1127, CNRS 7225, Sorbonne Université, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
Shannon Y ChiuFixel Institute for Neurological Diseases, Department of Neurology, University of Florida, Gainesville.
Antonio P StrafellaDivision of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada.
A Jon StoesslPacific Parkinson's Research Centre and Parkinson's Foundation Centre of Excellence, Division of Neurology and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.
David E VaillancourtLaboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville.
University of Florida · USCentre for Addiction and Mental Health · CAInserm · FR

Funding

Role of the Cortex and Cerebellum in Visually-Guided Motor BehaviorR01NS058487 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI JAFFEE, MICHAEL S., VAILLANCOURT, DAVID E · 2008 to 2025
$6.1M
Scaling and Sequencing Motor Output in Humans: fMRI StudyR01NS052318 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI VAILLANCOURT, DAVID E · 2005 to 2020
$6.0M
Web-based Automated Imaging Differentiation of ParkinsonismU01NS119562 · NINDS · UNIVERSITY OF FLORIDA · PI BARMPOUTIS, ANGELOS, OKUN, MICHAEL S · 2021 to 2025
$4.8M
Interdisciplinary Training in Movement Disorders and NeurorestorationT32NS082168 · NINDS · UNIVERSITY OF FLORIDA · PI Melissa Jo Armstrong, David E Vaillancourt · 2015 to 2026
$2.8M
NINDS NIH HHS R01 NS052318NINDS NIH HHS R01 NS058487NINDS NIH HHS T32 NS082168NINDS NIH HHS U01 NS119562
6 · The paper itself

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.

Indexed as

HumansNeuroimagingParkinson Disease

Identifiers

PMID34459865
PMCPMC9017381
OpenAlexW3197579772

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.