mGluR 5 and GABA A receptor-specific parametric PET atlas construction-PET/MR data processing pipeline, validation, and application.
Nicolas KaulenRavichandran RajkumarCláudia Régio BrambillaJörg MaulerShukti RamkiranLinda OrthHasan SbaihatMarkus LangChristine WyssElena Rota KopsJürgen ScheinsBernd NeumaierJohannes ErmertHans HerzogKarl-Joseph LangenChristoph LercheNadim Joni ShahTanja VeselinovićIrene NeunerPublished in: Human brain mapping (2022)
The glutamate and γ-aminobutyric acid neuroreceptor subtypes mGluR 5 and GABA A 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 (BP ND ), and total distribution volume (V T ) based on simultaneously acquired bolus-infusion positron emission tomography (PET) and MR data. The pipeline was applied to [ 11 C]ABP688-PET/MR (13 healthy male non-smokers, 26.6 ± 7.0 years) and [ 11 C]Flumazenil-PET/MR (10 healthy males, 25.8 ± 3.0 years) data. Activity concentration templates, as well as V T and BP ND atlases of mGluR 5 and GABA A , 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 δ ABP = 3.0 ± 1.0% and δ FMZ = 3.8 ± 1.4% were lower than the expected variabilities σ of the tracers (σ ABP = 4.0%-16.0%, σ FMZ = 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 [ 15 O]H 2 O-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.