Open AccessmGluR 5 and GABA A receptor‐specific parametric PET atlas construction— PET / MR data processing pipeline, validation, and application
Author(s) -
Kaulen Nicolas,
Rajkumar Ravichandran,
Régio Brambilla Cláudia,
Mauler Jörg,
Ramkiran Shukti,
Orth Linda,
Sbaihat Hasan,
Lang Markus,
Wyss Christine,
Rota Kops Elena,
Scheins Jürgen,
Neumaier Bernd,
Ermert Johannes,
Herzog Hans,
Langen KarlJoseph,
Lerche Christoph,
Shah N. Jon,
Veselinović Tanja,
Neuner Irene
Publication year - 2022
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25778
Subject(s) - flumazenil , nuclear medicine , in vivo , binding potential , positron emission tomography , magnetic resonance imaging , metabotropic glutamate receptor 5 , chemistry , medicine , nuclear magnetic resonance , gabaa receptor , glutamate receptor , physics , metabotropic glutamate receptor , biology , receptor , radiology , microbiology and biotechnology
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.