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000905895 1001_ $$0P:(DE-Juel1)176967$$aKaulen, Nicolas$$b0$$ufzj
000905895 245__ $$amGluR 5 and GABA A receptor‐specific parametric PET atlas construction— PET / MR data processing pipeline, validation, and application
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000905895 520__ $$aThe glutamate and γ-aminobutyric acid neuroreceptor subtypes mGluR5 and GABAA are hypothesized to be involved in the development of a variety of psychiatric diseases. However, detailed information relating to their in vivo distribution is generally unavailable. Maps of such distributions could potentially aid clinical studies by providing a reference for the normal distribution of neuroreceptors and may also be useful as covariates in advanced functional magnetic resonance imaging (MR) studies. In this study, we propose a comprehensive processing pipeline for the construction of standard space, in vivo distributions of non-displaceable binding potential (BPND), and total distribution volume (VT) based on simultaneously acquired bolus-infusion positron emission tomography (PET) and MR data. The pipeline was applied to [11C]ABP688-PET/MR (13 healthy male non-smokers, 26.6 ± 7.0 years) and [11C]Flumazenil-PET/MR (10 healthy males, 25.8 ± 3.0 years) data. Activity concentration templates, as well as VT and BPND atlases of mGluR5 and GABAA, were generated from these data. The maps were validated by assessing the percent error δ from warped space to native space in a selection of brain regions. We verified that the average δABP = 3.0 ± 1.0% and δFMZ = 3.8 ± 1.4% were lower than the expected variabilities σ of the tracers (σABP = 4.0%–16.0%, σFMZ = 3.9%–9.5%). An evaluation of PET-to-PET registrations based on the new maps showed higher registration accuracy compared to registrations based on the commonly used [15O]H2O-template distributed with SPM12. Thus, we conclude that the resulting maps can be used for further research and the proposed pipeline is a viable tool for the construction of standardized PET data distributions.
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000905895 7001_ $$0P:(DE-Juel1)164396$$aRajkumar, Ravichandran$$b1
000905895 7001_ $$0P:(DE-Juel1)171754$$aRégio Brambilla, Cláudia$$b2
000905895 7001_ $$0P:(DE-Juel1)144215$$aMauler, Jörg$$b3$$ufzj
000905895 7001_ $$0P:(DE-Juel1)169201$$aRamkiran, Shukti$$b4$$ufzj
000905895 7001_ $$0P:(DE-Juel1)172782$$aOrth, Linda$$b5
000905895 7001_ $$0P:(DE-Juel1)174570$$aSbaihat, Hasan$$b6$$ufzj
000905895 7001_ $$0P:(DE-Juel1)131831$$aLang, Markus$$b7$$ufzj
000905895 7001_ $$0P:(DE-HGF)0$$aWyss, Christine$$b8
000905895 7001_ $$0P:(DE-Juel1)131788$$aRota Kops, Elena$$b9$$ufzj
000905895 7001_ $$0P:(DE-Juel1)131791$$aScheins, Jürgen$$b10$$ufzj
000905895 7001_ $$0P:(DE-Juel1)166419$$aNeumaier, Bernd$$b11$$ufzj
000905895 7001_ $$0P:(DE-Juel1)131818$$aErmert, Johannes$$b12$$ufzj
000905895 7001_ $$0P:(DE-Juel1)131768$$aHerzog, Hans$$b13$$ufzj
000905895 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Joseph$$b14$$ufzj
000905895 7001_ $$0P:(DE-Juel1)164254$$aLerche, Christoph$$b15$$ufzj
000905895 7001_ $$0P:(DE-Juel1)131794$$aShah, N. J.$$b16$$ufzj
000905895 7001_ $$0P:(DE-HGF)0$$aVeselinović, Tanja$$b17
000905895 7001_ $$0P:(DE-Juel1)131781$$aNeuner, Irene$$b18$$eCorresponding author$$ufzj
000905895 773__ $$0PERI:(DE-600)1492703-2$$a10.1002/hbm.25778$$gp. hbm.25778$$n7$$p2148-2163$$tHuman brain mapping$$v43$$x1065-9471$$y2022
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