Rhesus Macaque Brain Atlas Regions Aligned to an MRI Template
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ORIGINAL ARTICLE
Rhesus Macaque Brain Atlas Regions Aligned to an MRI Template Jeffrey M. Moirano 1 & Gleb Y. Bezgin 2,3,4,5 & Elizabeth O. Ahlers 1 & Rolf Kötter 3,4,5 & Alexander K. Converse 1
# Springer Science+Business Media, LLC, part of Springer Nature 2018
Abstract To aid in the analysis of rhesus macaque brain images, we aligned digitized anatomical regions from the widely used atlas of Paxinos et al. to a published magnetic resonance imaging (MRI) template based on a large number of subjects. Digitally labelled atlas images were aligned to the template in 2D and then in 3D. The resulting grey matter regions appear qualitatively to be well registered to the template. To quantitatively validate the procedure, MR brain images of 20 rhesus macaques were aligned to the template along with regions drawn by hand in striatal and cortical areas in each subject’s MRI. There was good geometric overlap between the hand drawn regions and the template regions. Positron emission tomography (PET) images of the same subjects showing uptake of a dopamine D2 receptor ligand were aligned to the template space, and good agreement was found between tracer binding measures calculated using the hand drawn and template regions. In conclusion, an anatomically defined set of rhesus macaque brain regions has been aligned to an MRI template and has been validated for analysis of PET imaging in a subset of striatal and cortical areas. The entire set of over 200 regions is publicly available at https://www.nitrc.org/. Keywords Rhesus macaque . Brain . Atlas . Regions of interest . Positron emission tomography (PET) . Magnetic resonance imaging (MRI)
Introduction Rolf Kotter is deceased (Stephan et al. 2010). His coauthors are grateful for his contributions to this work. Research Highlights • Anatomical regions from the Paxinos atlas were aligned to a published MRI template • ROIs were validated against hand drawn ROIs for PET image analysis • The full set of aligned ROIs is available online. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12021-018-9400-2) contains supplementary material, which is available to authorized users. * Alexander K. Converse [email protected] 1
Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
2
Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
3
Department of Neuroinformatics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 AJ Nijmegen, The Netherlands
4
C.& O. Vogt Brain Research Institute, Heinrich Heine University, D-40225 Düsseldorf, Germany
5
Institute of Anatomy II, Heinrich Heine University, D-40225 Düsseldorf, Germany
In the analysis of neuroimaging data it is often necessary to define regions of interest (ROI) or to identify the location of voxels within the brain. This task can be made easier and also more reproducible by means of a labelled template image that is suitable as a registration target. Examples of such labelled templates are availa
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