A PET Molecular Imaging Brain Atlas of Cyclooxygenase-1 (Kim 2021)

A PET Molecular Imaging Brain Atlas of Cyclooxygenase-1 (Kim 2021)

Molecular Imaging Brain Atlases MIBAs are analyzed PET data presented in a format that MRI researchers should find easy to use, including tables of values for default ROIs and volume and surface maps in traditional MRI-based coordinate systems

Public deidentified MRI and PET data were obtained from openneuro.org/datasets/ds004230/versions/2.2.5 for 16 subjects who underwent a [11C]PS13 PET scan, a radioligand that quantifies cyclooxygenase-1 [1]. MRI data were analyzed in FreeSurfer[2]. PET data were analyzed in PETsurfer ([3, 4],surfer.nmr.mgh.harvard.edu/fswiki/PetSurfer) using the Logan method [5] to quantify the distribution volume (VT). A Cyclooxygenase-1 MIBA was generated by computing averages and standard deviations of VT across subject in ROI tables and in voxel-wise maps on the MNI152 and the FreeSurfer fsaverage brain.

Notes:

- The files `participants.json` and `participants.tsv` are from https://openneuro.org/datasets/ds004332/versions/1.0.2
- The folder `sub-dummy` should be ignored. It is only there so the dataset passes validation
- `nii.gz` files with the `res` entity are in volumetric space
- `nii.gz` files with the `hemi` entity are freesurfer surface overlays and are designed to be overlayed on top of the 164k surface mesh (see `SpatialReference` in corresponding `.json` files)
- `desc` entity legend:
- nopvc: No partial volume correction
- pvc: Partial volume correction
- fnirtNopvc: Non-linear registration performed with fnirt; No partial volume correction
- fnirtPvc: Non-linear registration performed with fnirt; Partial volume correction
- spmvbmNopvc: Non-linear registration performed with spmvbm; No partial volume correction
- spmvbmPvc: Non-linear registration performed with spmvbm; Partial volume correction

1: Kim, M.J., et al., First-in-human evaluation of [(11)C]PS13, a novel PET radioligand, to quantify cyclooxygenase-1 in the brain. Eur J Nucl Med Mol Imaging, 2020. 47(13): p. 3143-3151.

2: Fischl, B., FreeSurfer. Neuroimage, 2012. 62(2): p. 774-8.

3: Greve, D.N., et al., Different partial volume correction methods lead to different conclusions: An (18)F-FDG-PET study of aging. Neuroimage, 2016. 132: p. 334-43.

4: Greve, D.N., et al., Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data. Neuroimage, 2014. 92: p. 225-36.

5: Logan, J., et al., Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects. J Cereb Blood Flow Metab, 1990. 10(5): p. 740-7.