Evidence map›Paper›PMID 38884774›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

Connectivity based on glucose dynamics reveals exaggerated sensorimotor network coupling on subject-level in Parkinson's disease.

Marina C Ruppert-Junck, Vanessa Heinecke, Damiano Librizzi, Kenan Steidel, Maya Beckersjürgen, Frederik A Verburg, Tino Schurrat, Markus Luster, Hans-Helge Müller, Lars Timmermann and 2 more

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Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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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.

Marina C Ruppert-JunckNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany. marina.ruppert@uni-marburg.de.ORCID 0000-0002-9025-7058
Vanessa HeineckeNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany.
Damiano LibrizziNuclear Medicine Department, Philipps-University Marburg, Marburg, Germany.
Kenan SteidelNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany.
Maya BeckersjürgenNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany.
Frederik A VerburgNuclear Medicine Department, Philipps-University Marburg, Marburg, Germany.
Tino SchurratNuclear Medicine Department, Philipps-University Marburg, Marburg, Germany.
Markus LusterNuclear Medicine Department, Philipps-University Marburg, Marburg, Germany.
Hans-Helge MüllerInstitute for Medical Bioinformatics and Biostatistics, Philipps-University Marburg, Marburg, Germany.
Lars TimmermannNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany.
Carsten EggersNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany.
David PedrosaNeurology Department at Medical Faculty Marburg, Philipps-University Marburg, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile fMRI provides information on the temporal changes in blood oxygenation, 2- [18F]fluoro-2-deoxy-D-glucose ([

methodsIn the current study, this technique was employed to explore Parkinson's disease (PD)-related alterations in individual metabolic connectivity, in comparison to inter-subject measures and hemodynamic connectivity. Fifteen PD patients and 14 healthy controls with comparable cognition underwent sequential resting-state dynamic PET with constant infusion and functional MRI. Intrinsic networks were identified by independent component analysis and interregional connectivity calculated for summed static PET images, PET time series and functional MRI.

resultsOur findings revealed an intrinsic sensorimotor network in PD patients that has not been previously observed to this extent. In PD, a significantly higher number of connections in cortical motor areas was observed compared to elderly control subjects, as indicated by both static PET and functional MRI (p

conclusionMetabolic connectivity, as revealed by both static and dynamic PET, provides unique information on metabolic network activity. Subject-level metabolic connectivity based on constant infusion PET may serve as a potential marker for the metabolic network signature in neurodegeneration.

Indexed as

Fluorodeoxyglucose F18GlucoseMagnetic Resonance ImagingParkinson DiseasePositron-Emission TomographyAgedCase-Control StudiesFemaleHumansMaleMiddle AgedNerve NetFluorodeoxyglucose F18GlucoseDynamic [18F]-Fluorodeoxyglucose-PETGlucose DynamicsImaging biomarkerMetabolic connectivityMultimodal connectomeNetwork degeneration

Identifiers

PMID38884774
PMCPMC11445336

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