Poster No:
2211
Submission Type:
Abstract Submission
Authors:
Martin Norgaard1,2, Anthony Galassi2, Nafiseh Ghazanfari2, Adrian Lee2, Jeih-San Liow2, Sami Zoghbi2, Paul Wighton3, Granville Matheson4, Cyril Pernet5, Gitte Knudsen5, Melanie Ganz5,1, Adam Thomas2, Douglas Greve3, Paolo Zanotti Fregonara2, Robert Innis2
Institutions:
1University of Copenhagen, Copenhagen, Denmark, 2NIMH Intramural Research Program, Bethesda, MD, 3Martinos Center for Biomedical Imaging at MGH, Boston, MA, 4Columbia University / Karolinska Institutet, Solna, Stockholms län, 5Neurobiology Research Unit, Copenhagen, Denmark
First Author:
Martin Norgaard
University of Copenhagen|NIMH Intramural Research Program
Copenhagen, Denmark|Bethesda, MD
Co-Author(s):
Adrian Lee
NIMH Intramural Research Program
Bethesda, MD
Sami Zoghbi
NIMH Intramural Research Program
Bethesda, MD
Paul Wighton
Martinos Center for Biomedical Imaging at MGH
Boston, MA
Melanie Ganz
Neurobiology Research Unit|University of Copenhagen
Copenhagen, Denmark|Copenhagen, Denmark
Adam Thomas
NIMH Intramural Research Program
Bethesda, MD
Douglas Greve
Martinos Center for Biomedical Imaging at MGH
Boston, MA
Introduction:
Cyclooxygenase-2 (COX-2) is one of the main enzymes activated by inflammatory stimuli and is a key target for anti-inflammatory drugs [1]. Here, we present a quantitative high-resolution in vivo atlas of the spatial distribution of COX-2 in the healthy human brain, obtained using Positron Emission Tomography (PET) data. The atlas will be made publicly available to the community as part of the OpenNeuroPET project (https://openneuropet.github.io/).
Methods:
Twenty-seven healthy participants (12 males, 15 females; mean age: 36±10.36 years, range: 22-56) were scanned using a Siemens Biograph mCT PET scanner 120 min after a bolus injection of the radioligand [11C]MC1. Arterial sampling was done to determine the input function. Ten of the participants also had a blocking scan to determine levels of receptor occupancy and non-displaceable distribution volume (VND). An isotropic 3D T1-weighted MRI was acquired for all participants using a Philips Achieva 3T MRI-scanner. The PET data were head motion corrected using the BIDS application PETPrep_hmc (v.0.0.7) [2]. The MR data were processed using FreeSurfer (v.7.4.1) [3] and co-registered to the PET data using a rigid transformation and a normalized mutual information cost function. The PET data were quantified to estimate total distribution volume (VT) for each region using Logan graphical analysis in PETSurfer [4, 5] and the radiometabolite-corrected plasma curve as input function estimated via the bloodstream BIDS application [6]. Occupancy and VND were estimated using the Lassen plot [7], from which the specific distribution volume (VS) was calculated. Parametric images of distribution volumes VT and VS were created in the MNI152 (CVS volume space from FreeSurfer) as well as in surface space (fsaverage), smoothed with a 6 mm and 10 mm smoothing kernel in the volume and surface, respectively [8].
Results:
The main outcome of this work is the generation of a brain atlas of the COX-2 VT and VS (Figure 1). The regional VT estimates ranged from 1.05 to 3.43 mL/cm3 across participants and scans (average = 2.14 ± 0.4 mL/cm3) and were mostly expressed in the cortex (Figure 2). VS estimates (VS = VT - VND) were generally low in subcortical regions (Figure 2), whereas measures in cortical regions largely ranged between 0.25-0.75 mL/cm3. The estimated average occupancy across participants from the baseline-blocking condition was 72 ± 17% (range: 37% - 89%), and the average VND was 1.81 ± 0.15 mL/cm3 (range: 1.64 - 2.1 mL/cm3).
Conclusions:
This quantitative in vivo brain atlas of the spatial organization of COX-2 distribution volumes in the healthy human brain provides a valuable tool for investigating the COX system; in particular, the atlas can be used as a reference to patient groups with alterations in their inflammatory system or to understand the effects of pharmacological interventions that act on the COX-2 system.
Modeling and Analysis Methods:
PET Modeling and Analysis 2
Segmentation and Parcellation
Neuroinformatics and Data Sharing:
Brain Atlases 1
Novel Imaging Acquisition Methods:
PET
Physiology, Metabolism and Neurotransmission :
Pharmacology and Neurotransmission
Keywords:
Data analysis
Pain
Positron Emission Tomography (PET)
STRUCTURAL MRI
Other - Inflammation
1|2Indicates the priority used for review
Provide references using author date format
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[2] Norgaard, M., Beliveau, V., Galassi, A. (2023). mnoergaard/petprep_hmc: v.0.0.7 (v.0.0.7). Zenodo. https://doi.org/10.5281/zenodo.10102262
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