Evidence map›Paper›PMID 41719754›Full record

ArticleNeuroImage. Clinical2026

A data-driven SSM/PCA analysis approach for differential diagnosis of parkinsonism using

Linus Falk, Carl Brunius, Tea Crnic Bojkovic, Lieuwe Appel, Charles Widström, Dag Nyholm, Torsten Danfors, My Jonasson, Mark Lubberink

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Article in NeuroImage. Clinical, 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
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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

9 authors.

Linus FalkMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Sweden. Electronic address: linus.falk@uu.se.
Carl BruniusFood and Nutrician Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Tea Crnic BojkovicMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Sweden; Medical Imaging Center, Uppsala University Hospital, Uppsala, Sweden.
Lieuwe AppelMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Sweden; Medical Imaging Center, Uppsala University Hospital, Uppsala, Sweden.
Charles WidströmMedical Physics, Uppsala University Hospital, Uppsala, Sweden.
Dag NyholmNeurology, Department of Medical Sciences, Uppsala University, Sweden; Neurology, Uppsala University Hospital, Uppsala, Sweden.
Torsten DanforsMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Sweden; Medical Imaging Center, Uppsala University Hospital, Uppsala, Sweden.
My JonassonMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Sweden; Medical Imaging Center, Uppsala University Hospital, Uppsala, Sweden.
Mark LubberinkMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Sweden; Medical Imaging Center, Uppsala University Hospital, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScaled Subprofile Modelling using principal component analysis (SSM/PCA) is a multivariate analysis technique primarily used in

objectiveTo apply SSM/PCA to dynamic

methodsDopamine transporter availability, expressed as the specific binding ratio (SBR) relative to cerebellar gray matter and relative cerebral blood flow (R

resultsCombining SBR and R

conclusionsOur results highlight the potential of an ensemble-based SSM/PCA method to assist differential diagnosis of parkinsonism. Future work will focus on including additional atypical parkinsonian disorders.

Indexed as

Parkinsonian DisordersPositron-Emission TomographyPrincipal Component AnalysisAgedBrainDiagnosis, DifferentialDopamine Plasma Membrane Transport ProteinsDopaminergic ImagingFemaleHumansMaleMiddle AgedNortropanesDopamine Plasma Membrane Transport ProteinsNortropanes(11)C-PE2I PETCerebral blood flowDifferential diagnosisDopamine transporter availabilityDynamic brain scanEnsemble learningParkinsonian syndromes

Identifiers

PMID41719754
PMCPMC12934278

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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.