This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/31060 in citations.
Please use the identifier: http://dx.doi.org/10.1002/hbm.25778 in citations.
mGluR 5 and GABA A receptor‐specific parametric PET atlas construction— PET / MR data processing pipeline, validation, and application
mGluR 5 and GABA A receptor‐specific parametric PET atlas construction— PET / MR data processing pipeline, validation, and application
The 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 poten...
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Personal Name(s): | Kaulen, Nicolas |
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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, Karl-Joseph / Lerche, Christoph / Shah, N. J. / Veselinović, Tanja / Neuner, Irene (Corresponding author) | |
Contributing Institute: |
Jara-Institut Quantum Information; INM-11 Nuklearchemie; INM-5 Jülich-Aachen Research Alliance - Translational Brain Medicine; JARA-BRAIN Physik der Medizinischen Bildgebung; INM-4 |
Published in: | Human brain mapping, 43 (2022) 7, S. 2148-2163 |
Imprint: |
New York, NY
Wiley-Liss
2022
|
DOI: |
10.1002/hbm.25778 |
Document Type: |
Journal Article |
Research Program: |
Neuroimaging |
Link: |
Get full text OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1002/hbm.25778 in citations.
The 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. |