Data sharing and atlases

In this day and age in the extended field of neuroscience, there are so many questions to ask and so much data already out there. The CNL would not be able to conduct the research that we do if other scientists were not willing to share their data and to collaborate [seems like a great time to link to our great list of Collaborators from around the globe].

Thus, many of our previous and future projects are focused on data sharing and atlas work. In terms of data sharing, our recent work has shared entire datasets, as well as cross-validated probabilistic predictions of functional ROIs. In terms of atlases, we have also shared a cross-validated cytoarchitectonic atlas of ventral visual cortex. The benefit of cross-validated probabilistic predictions of functional ROIs and cytoarchitetonic areas is that they provide accurate predictions of these functional and anatomical ROIs from cortical folding alone. We will continue to share data and to provide these resources for the field.

Coupling between cytoarchitectonic and multimodal atlases of the human ventral visual stream. Data are compared between a cytoarchitectonic atlas and a recent influential multimodal atlas published by Glasser and colleagues. Here, we illustrate the superposition of the cytoarchitectonic atlas (outlines) and the multimodal atlas (solid) on the Freesurfer average cortical surface. The ventral view of the Freesurfer average cortical surface is depicted and the inset at the left shows zoomed region of the brain displayed. Solid colors define multimodal areas and outlines define cytoarchitectonic areas. From Rosenke et al., 2017.

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