Evidence map›Paper›PMID 35732679›Full record

ArticleNPJ Parkinson's disease2022

Longitudinal trimodal imaging of midbrain-associated network degeneration in Parkinson's disease.

Kenan Steidel, Marina C Ruppert, Andrea Greuel, Masoud Tahmasian, Franziska Maier, Jochen Hammes, Thilo van Eimeren, Lars Timmermann, Marc Tittgemeyer, Alexander Drzezga and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  8. Article
  9. Dysfunction of motor cortices in Parkinson's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Review
  10. Random forest analysis of midbrain hypometabolism using [Frontiers in computational neuroscience · 2024
    Article
  11. Article
  12. Article
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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

12 authors at 6 institutions in 1 country.

Kenan Steidel *Department of Neurology, University Hospital of Marburg, Marburg, Germany. steidel@staff.uni-marburg.de.ORCID http://orcid.org/0000-0002-1556-3573
Marina C Ruppert *Department of Neurology, University Hospital of Marburg, Marburg, Germany.ORCID http://orcid.org/0000-0002-9025-7058
Andrea GreuelDepartment of Neurology, University Hospital of Marburg, Marburg, Germany.
Masoud TahmasianInstitute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Franziska MaierDepartment of Psychiatry, University Hospital Cologne, Medical Faculty, Cologne, Germany.
Jochen HammesMultimodal Neuroimaging Group, Department of Nuclear Medicine, Medical Faculty University Hospital Cologne, Cologne, Germany.
Thilo van EimerenMultimodal Neuroimaging Group, Department of Nuclear Medicine, Medical Faculty University Hospital Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0002-6951-2325
Lars TimmermannDepartment of Neurology, University Hospital of Marburg, Marburg, Germany.
Marc TittgemeyerMax Planck Institute for Metabolism Research, Cologne, Germany.
Alexander DrzezgaMultimodal Neuroimaging Group, Department of Nuclear Medicine, Medical Faculty University Hospital Cologne, Cologne, Germany.
David J Pedrosa *Department of Neurology, University Hospital of Marburg, Marburg, Germany.ORCID http://orcid.org/0000-0002-5403-1959
Carsten Eggers *Department of Neurology, University Hospital of Marburg, Marburg, Germany.
Philipps University of Marburg · DEUniversity Hospital Cologne · DEForschungszentrum Jülich · DEGerman Center for Neurodegenerative Diseases · DEHeinrich Heine University Düsseldorf · DEMax Planck Institute for Metabolism Research · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) KFO219, EG350/-1
6 · The paper itself

Abstract

The prevailing network perspective of Parkinson's disease (PD) emerges not least from the ascending neuropathology traceable in histological studies. However, whether longitudinal in vivo correlates of network degeneration in PD can be observed remains unresolved. Here, we applied a trimodal imaging protocol combining 18F-fluorodeoxyglucose (FDG)- and 18F-fluoro-L-Dopa- (FDOPA)-PET with resting-state functional MRI to assess longitudinal changes in midbrain metabolism, striatal dopamine depletion and striatocortical dysconnectivity in 17 well-characterized PD patients. Whole-brain (un)paired-t-tests with focus on midbrain or striatum were performed between visits and in relation to 14 healthy controls (HC) in PET modalities. Resulting clusters of FDOPA-PET comparisons provided volumes for seed-based functional connectivity (FC) analyses between visits and in relation to HC. FDG metabolism in the left midbrain decreased compared to baseline along with caudatal FDOPA-uptake. This caudate cluster exhibited a longitudinal FC decrease to sensorimotor and frontal areas. Compared to healthy subjects, dopamine-depleted putamina indicated stronger decline in striatocortical FC at follow-up with respect to baseline. Increasing nigrostriatal deficits and striatocortical decoupling were associated with deterioration in motor scores between visits in repeated-measures correlations. In summary, our results demonstrate the feasibility of in-vivo tracking of progressive network degeneration using a multimodal imaging approach. Specifically, our data suggest advancing striatal and widespread striatocortical dysfunction via an anterior-posterior gradient originating from a hypometabolic midbrain cluster within a well-characterized and only mild to moderately affected PD cohort during a relatively short period.

Identifiers

PMID35732679
PMCPMC9218128
OpenAlexW4283382134

What OpenQuestion holds

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LicenceCC BY
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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.