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

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...

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Published inHuman brain mapping Vol. 42; no. 3; pp. 555 - 566
Main Authors Dukart, Juergen, Holiga, Stefan, Rullmann, Michael, Lanzenberger, Rupert, Hawkins, Peter C. T., Mehta, Mitul A., Hesse, Swen, Barthel, Henryk, Sabri, Osama, Jech, Robert, Eickhoff, Simon B.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 15.02.2021
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Summary: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. Here, we introduce the JuSpace toolbox 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. The toolbox provides a biologically meaningful framework for linking neuroimaging to underlying neurotransmitter information.
Bibliography:Funding information
Czech Ministry of Health, Grant/Award Number: AZV NV19‐04‐00233; Horizon 2020 Framework Programme, Grant/Award Number: 785907
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Funding information Czech Ministry of Health, Grant/Award Number: AZV NV19‐04‐00233; Horizon 2020 Framework Programme, Grant/Award Number: 785907
ISSN:1065-9471
1097-0193
DOI:10.1002/hbm.25244