Data from: Diffusion Tensor Imaging White Matter Atlas for the Domestic Feline
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The cat brain is a useful model for neuroscientific research and with the increasing use of advanced neuroimaging techniques there is a need for a white matter brain atlas to accompany the cortical grey matter atlas, currently available. In this article we document the creation of a feline white matter atlas from diffusion tensor imaging (DTI) data obtained from a population of eight mesaticephalic felines. We tested tractography methods to determine that deterministic methods provided the dissections with the highest level of anatomic accuracy. Tractography dissections were performed to create tract priors for the major white matter projections including; corpus callosum, fornix, cingulum, uncinate, corona radiata, corticospinal tract, inferior longitudinal fasciculus, superior longitudinal fasciculus and cerebellar tracts. T1-weighted, fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) population maps were generated. The volume, mean tract length and mean FA, MD, AD and RD values for each tract prior was documented. A structural connectome was then created using previously published cortical priors and the mean average weight of connectivity between lobar regions was documented. The provided white matter atlas, diffusivity maps, tract priors and connectome will be a valuable resource for anatomical, pathological and translational neuroimaging research in the feline model. Multi-atlas population maps and segmentation priors are available at Cornell’s digital repository.
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On 2019-12-13, Philippa Johnson made the following changes to the dataset, per reviewer feedback: 1) renamed CCT tracts to cerebellar thalamo-cortical (CPCT) tracts, 2) renamed superior cerebellar peduncle (SCP) tracts to pontocerebellar tracts (PCT) 3) renamed spinal-cerebellar (SCT) tracts to dorsal spinal-cerebellar (DSCT) tracts, and 4) added a ventral spinocarebellar tract (VSCT) tract to the dataset.