Evidence map›Paper›PMID 41838078›Full record

ReviewRadiologie (Heidelberg, Germany)2026

[Basal ganglia and movement disorders : Part 1: the parkinsonian spectrum-Neuroradiological patterns and diagnostic considerations].

Malvina Garner

Abstract readEnglish AbstractReview
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In one paragraph

Review in Radiologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Malvina GarnerKlinik für diagnostische und interventionelle Neuroradiologie, Universitätskliniken des Saarlandes, Kirrberger Str., 66421, Homburg Saar, Deutschland. malvina.garner@uks.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement disorders are a frequent yet diagnostically unspecific reason for referral in routine neuroradiological practice. Hypokinetic syndromes with parkinsonism in particular regularly raise the question of an underlying neurodegenerative disorder, while requiring careful differentiation from atypical parkinsonian syndromes and secondary causes. This first part of the review focuses on the neuroradiological assessment of degenerative movement disorders, with an emphasis on the parkinsonian spectrum. It is grounded in the functional anatomy of the basal ganglia and their integration into motor networks. Building on this framework, a practice-oriented diagnostic approach is presented in which clinical phenotypes, temporal evolution, and accompanying symptoms serve as guiding criteria for targeted image interpretation. The article addresses idiopathic Parkinson's disease as well as atypical parkinsonian syndromes, in particular progressive supranuclear palsy, multiple system atrophy, and corticobasal syndrome. Typical and atypical magnetic resonance imaging (MRI) patterns, established morphometric markers, and the diagnostic limitations of visual signs such as the swallow-tail sign are critically discussed. In addition, neuromelanin-sensitive MRI, susceptibility-based techniques, and artificial intelligence (AI)-supported approaches are reviewed, with explicit consideration of their current limitations. The aim of this contribution is to enable a structured and clinically robust neuroradiological assessment of parkinsonism and to use imaging in a targeted manner for differential diagnosis and guidance of further diagnostic work-up.

Indexed as

Basal GangliaMagnetic Resonance ImagingMovement DisordersParkinsonian DisordersDiagnosis, DifferentialHumansAtypical parkinsonian syndromesIdiopathic Parkinson’s diseaseMorphometryParkinsonismSwallow-tail sign

Identifiers

What OpenQuestion holds

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Registered trials

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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.