Evidence map›Paper›PMID 33079453›Full record

ArticleHuman brain mapping2021

JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps.

Juergen Dukart, Stefan Holiga, Michael Rullmann, Rupert Lanzenberger, Peter C T Hawkins, Mitul A Mehta, Swen Hesse, Henryk Barthel, Osama Sabri, Robert Jech and 1 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 9 pooled it
9.9field-weighted citation impact, top 1% 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

174 citing papers in PubMed, 9 syntheses or guidelines pooled it, 279 citations in OpenAlex.

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114 more citing papers are in PubMed but not listed here.

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

11 authors at 6 institutions in 5 countries.

Juergen DukartInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.ORCID 0000-0003-0492-5644
Stefan HoligaRoche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Michael RullmannDepartment of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany.
Rupert LanzenbergerDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-4641-9539
Peter C T HawkinsDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID 0000-0002-2256-1648
Mitul A MehtaDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Swen HesseDepartment of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany.
Henryk BarthelDepartment of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany.
Osama SabriDepartment of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany.
Robert JechDepartment of Neurology and Center of Clinical Neuroscience, Charles University, 1st Faculty of Medicine and General University Hospital, Prague, Czech Republic.
Simon B EickhoffInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
University Hospital Leipzig · DEHeinrich Heine University Düsseldorf · DEKing's College London · GBCharles University · CZMedical University of Vienna · ATRoche (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that drug-induced spatial alteration patterns in resting state functional activity as measured using magnetic resonance imaging (rsfMRI) are associated with the distribution of specific receptor systems targeted by respective compounds. Based on this approach, we introduce a toolbox (JuSpace) allowing for cross-modal correlation of MRI-based measures with nuclear imaging derived estimates covering various neurotransmitter systems including dopaminergic, serotonergic, noradrenergic, and GABAergic (gamma-aminobutric acid) neurotransmission. We apply JuSpace to two datasets covering Parkinson's disease patients (PD) and risperidone-induced changes in rsfMRI and cerebral blood flow (CBF). Consistently with the predominant neurodegeneration of dopaminergic and serotonergic system in PD, we find significant spatial associations between rsfMRI activity alterations in PD and dopaminergic (D2) and serotonergic systems (5-HT1b). Risperidone induced CBF alterations were correlated with its main targets in serotonergic and dopaminergic systems. JuSpace provides a biologically meaningful framework for linking neuroimaging to underlying neurotransmitter information.

Indexed as

Magnetic Resonance ImagingPositron-Emission TomographyReceptors, NeurotransmitterSynaptic TransmissionTomography, Emission-Computed, Single-PhotonCerebrovascular CirculationHumansNeuroimagingNeurotransmitter AgentsParkinson DiseaseNeurotransmitter AgentsReceptors, Neurotransmittermagnetic resonance imagingneuroimagingneuropharmacologyneurotransmissionParkinson's diseasepositron emission tomography

Identifiers

PMID33079453
PMCPMC7814756
OpenAlexW3093313331

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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.