Gathers a probabilistic in-vivo reference atlas about subcortical nuclei involved in reward learning and decision making. Atlaskit is composed of anatomical images, T1w and T2w templates, as well as segmentations of labels. The dataset also includes a set of tools for adding brain structures and for improving the anatomical labels’ accuracy in the collaborative repository.
Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA; Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA, USA; University of California, Irvine, CA, USA
Atlaskit funding source(s)
Supported, in part, by a Neuroimaging Core of a Conte Center grant from the National Institutes of Health (5P50MH094258-5388).