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mGluR5 and GABAA receptor-specific parametric PET atlas construction-PET/MR data processing pipeline, validation, and
Nicolas Kaulen1,2, Ravichandran Rajkumar1,2,3, Cláudia Régio Brambilla1,2,3
1Forschungszentrum Jülich, Institute of Neuroscience and Medicine 4, INM-4, Jülich, Germany.
Human Brain Mapping
|January 25, 2022
Summary
This study developed a new processing pipeline to map neuroreceptor distribution in the brain using PET and MR imaging. The resulting atlases for mGluR5 and GABA-A receptors improve accuracy in neuroimaging research.
Area of Science:
- Neuroscience
- Radiology
- Medical Imaging
Background:
- Glutamate (mGluR5) and GABA (GABA-A) neuroreceptors are implicated in psychiatric disorders.
- In vivo distribution data for these neuroreceptors is limited.
- Accurate neuroreceptor maps can aid clinical studies and advanced neuroimaging analyses.
Purpose of the Study:
- To develop a comprehensive processing pipeline for creating standard-space, in vivo distribution maps of neuroreceptor binding potential (BP_ND) and total distribution volume (V_T).
- To generate atlases for mGluR5 and GABA-A neuroreceptors using simultaneously acquired PET and MR data.
- To validate the accuracy and utility of the generated maps and pipeline.
Main Methods:
- A processing pipeline was designed for simultaneous bolus-infusion PET and MR data.
- The pipeline was applied to [11C]ABP688-PET/MR and [11C]Flumazenil-PET/MR data from healthy male subjects.
- Generated V_T and BP_ND atlases were validated by assessing registration accuracy and percent error in standard space.
Main Results:
- Activity concentration templates, V_T, and BP_ND atlases for mGluR5 and GABA-A were successfully generated.
- Validation showed low percent errors (δABP = 3.0 ± 1.0%, δFMZ = 3.8 ± 1.4%) compared to tracer variabilities.
- PET-to-PET registrations using the new maps demonstrated higher accuracy than standard templates.
Conclusions:
- The generated neuroreceptor atlases are valuable resources for neuroscience research.
- The proposed processing pipeline is a robust tool for creating standardized PET data distributions.
- This work facilitates more accurate in vivo neuroreceptor quantification and analysis in clinical and research settings.

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