Catlas: An magnetic resonance imaging-based three-dimensional cortical atlas and tissue probability maps for the domestic cat (Felis catus).

Authors

Daniel Stolzberg, Department of Physiology and Pharmacology, University of Western Ontario, London, Ontario, Canada & Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
Carmen Wong, Graduate Program in Neuroscience, University of Western Ontario, London, Ontario, Canada
Blake E Butler, Department of Physiology and Pharmacology, University of Western Ontario, London, Ontario, Canada & Department of Psychology, University of Western Ontario, London, Ontario, Canada & National Centre for Audiology, University of Western Ontario, London, Ontario, CanadaFollow
Stephen G Lomber, Department of Physiology and Pharmacology, University of Western Ontario, London, Ontario, Canada & Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada & Department of Psychology, University of Western Ontario, London, Ontario, Canada & National Centre for Audiology, University of Western Ontario, London, Ontario, Canada

Document Type

Article

Publication Date

10-15-2017

Journal

The Journal of comparative neurology

Volume

525

Issue

15

First Page

3190

Last Page

3206

URL with Digital Object Identifier

10.1002/cne.24271

Abstract

Brain atlases play an important role in effectively communicating results from neuroimaging studies in a standardized coordinate system. Furthermore, brain atlases extend analysis of functional magnetic resonance imaging (MRI) data by delineating regions of interest over which to evaluate the extent of functional activation as well as measures of inter-regional connectivity. Here, we introduce a three-dimensional atlas of the cat cerebral cortex based on established cytoarchitectonic and electrophysiological findings. In total, 71 cerebral areas were mapped onto the gray matter (GM) of an averaged T1-weighted structural MRI acquired at 7 T from eight adult domestic cats. In addition, a nonlinear registration procedure was used to generate a common template brain as well as GM, white matter, and cerebral spinal fluid tissue probability maps to facilitate tissue segmentation as part of the standard preprocessing pipeline for MRI data analysis. The atlas and associated files can also be used for planning stereotaxic surgery and for didactic purposes.

Notes

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