Evidence map›Paper›PMID 35005060›Full record

ReviewMovement disorders clinical practice2022

Pragmatic Approach on Neuroimaging Techniques for the Differential Diagnosis of Parkinsonisms.

Cecilia Peralta, Antonio P Strafella, Thilo van Eimeren, Roberto Ceravolo, Klaus Seppi, Valtteri Kaasinen, Julieta E Arena, Stephane Lehericy, International Parkinson Movement Disorders Society‐Neuroimaging Study Group

Open access · bronzeAbstract readReview
In one paragraph

Review in Movement disorders clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 48 citations in OpenAlex.

  1. Dopamine DBiomolecules · 2023
    Trial
  2. Neuroimaging in Tremor.Seminars in neurology · 2026
    Review
  3. Article
  4. The role of neuro-imaging in multiple system atrophy.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Cross-modality PET image synthesis for Parkinson's Disease diagnosis: a leap from [European journal of nuclear medicine and molecular imaging · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Covering Basic Needs on Molecular Imaging.Movement disorders clinical practice · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Disease modification in Parkinsonism: obstacles and ways forward.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    Review
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

9 authors at 8 institutions in 7 countries.

Cecilia PeraltaMovement Disorders Clinic, Neuroscience Department Hospital Universitario CEMIC, Centro de Educación Médica e Investigaciones Clínicas "Norberto Quirno" Buenos Aires Argentina.
Antonio P StrafellaMorton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Division of Neurology/Department of Medicine, Toronto Western Hospital University Health Network Toronto Ontario Canada.
Thilo van EimerenDepartment of Nuclear Medicine University of Cologne Cologne Germany.
Roberto CeravoloDepartment of Clinical and Experimental Medicine University of Pisa Pisa Italy.
Klaus SeppiDepartment of Neurology Medical University Innsbruck Innsbruck Austria.ORCID https://orcid.org/0000-0001-6503-1455
Valtteri KaasinenClinical Neurosciences University of Turku and Turku University Hospital Turku Finland.ORCID https://orcid.org/0000-0002-3446-7093
Julieta E ArenaMovement Disorders Section, Department of Neurology, Fleni Buenos Aires Argentina.
Stephane LehericyInstitut du Cerveau-ICM, Team "Movement Investigations and Therapeutics," Centre de NeuroImagerie de Recherche-CENIR, Neuroradiology Department Paris France.
International Parkinson Movement Disorders Society‐Neuroimaging Study Group
Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno · ARFundación para la Lucha contra las Enfermedades Neurológicas de la Infancia · ARInnsbruck Medical University · ATInserm · FRUniversity Health Network · CAUniversity of Cologne · DEUniversity of Pisa · ITUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid advances in neuroimaging technologies in the exploration of the living human brain also apply to movement disorders. However, the accurate diagnosis of Parkinson's disease (PD) and atypical parkinsonian disorders (APDs) still remains a challenge in daily practice.

methodsWe review the literature and our own experience as the Movement Disorder Society-Neuroimaging Study Group in Movement Disorders with the aim of providing a practical approach to the use of imaging technologies in the clinical setting.

resultsThe enormous amount of articles published so far and our increasing recognition of imaging technologies contrast with a lack of imaging protocols and updated algorithms for differential diagnosis. The distinctive pathological involvement in different brain structures and the correlation with imaging findings obtained with magnetic resonance, positron emission tomography, or single-photon emission computed tomography illustrate what qualitative and quantitative measures may be useful in the clinical setting.

conclusionWe delineate a pragmatic approach to discuss imaging technologies, updated imaging algorithms, and their implications for differential diagnoses in PD and APDs.

Indexed as

atypical parkinsonismsimagingMRImultiple system atrophyParkinson's diseasePETprogressive supranuclear palsy

Identifiers

PMID35005060
PMCPMC8721825
OpenAlexW3204330673

What OpenQuestion holds

Textmetadata
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.