Evidence map›Paper›PMID 28386687›Full record

ArticleNeuroradiology2017

Abnormal metabolic brain network associated with Parkinson's disease: replication on a new European sample.

Petra Tomše, Luka Jensterle, Marko Grmek, Katja Zaletel, Zvezdan Pirtošek, Vijay Dhawan, Shichun Peng, David Eidelberg, Yilong Ma, Maja Trošt

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In one paragraph

Article in Neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  12. Article
  13. Article
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  18. Gait-Related Metabolic Covariance Networks at Rest in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022
    Article
  19. Article
  20. Article
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

10 authors.

Petra TomšeDepartment of Nuclear Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Luka JensterleDepartment of Nuclear Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Marko GrmekDepartment of Nuclear Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Katja ZaletelDepartment of Nuclear Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Zvezdan PirtošekDepartment of Neurology, University Medical Centre Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia.
Vijay DhawanCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Shichun PengCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
David EidelbergCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Yilong MaCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Maja TroštDepartment of Neurology, University Medical Centre Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia. maja.trost@kclj.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to identify the specific metabolic brain pattern characteristic for Parkinson's disease (PD): Parkinson's disease-related pattern (PDRP), using network analysis of [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) brain images in a cohort of Slovenian PD patients.

methodsTwenty PD patients (age 70.1 ± 7.8 years, Movement Disorder Society Unified Parkinson's Disease Motor Rating Scale (MDS-UPDRS-III) 38.3 ± 12.2; disease duration 4.3 ± 4.1 years) and 20 age-matched normal controls (NCs) underwent FDG-PET brain imaging. An automatic voxel-based scaled subprofile model/principal component analysis (SSM/PCA) was applied to these scans for PDRP-Slovenia identification.

resultsThe pattern was characterized by relative hypermetabolism in pallidum, putamen, thalamus, brain stem, and cerebellum associated with hypometabolism in sensorimotor cortex, posterior parietal, occipital, and frontal cortices. The expression of PDRP-Slovenia discriminated PD patients from NCs (p < 0.0001) and correlated positively with patients' clinical score (MDS-UPDRS-III, p = 0.03). Additionally, its topography agrees well with the original PDRP (p < 0.001) identified in American cohort of PD patients. We validated the PDRP-Slovenia expression on additional FDG-PET scans of 20 PD patients, 20 NCs, and 25 patients with atypical parkinsonism (AP). We confirmed that the expression of PDRP-Slovenia manifests good diagnostic accuracy with specificity and sensitivity of 85-90% at optimal pattern expression cutoff for discrimination of PD patients and NCs and is not expressed in AP.

conclusionPDRP-Slovenia proves to be a robust and reproducible functional imaging biomarker independent of patient population. It accurately differentiates PD patients from NCs and AP and correlates well with the clinical measure of PD progression.

Indexed as

AgedBrainCase-Control StudiesDisease ProgressionFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedParkinson DiseasePositron-Emission TomographyRadiopharmaceuticalsSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsAtypical parkinsonismFDG-PETParkinson’s diseasePrincipal component analysisSpecific metabolic brain network

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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.