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Hippocampal Subfields Revealed Through Unfolding And Unsupervised Clustering Of Laminar And Morphological Features In 3d Bigbrain, J. Dekraker, J. C. Lau, K. M. Ferko, A. R. Khan, S. Köhler

Brain and Mind Institute Researchers' Publications

© 2019 Elsevier Inc. The internal structure of the human hippocampus is challenging to map using histology or neuroimaging due to its complex archicortical folding. Here, we aimed to overcome this challenge using a unique combination of three methods. First, we leveraged a histological dataset with unprecedented 3D coverage, BigBrain. Second, we imposed a computational unfolding framework that respects the topological continuity of hippocampal subfields, which are traditionally defined by laminar composition. Third, we adapted neocortical parcellation techniques to map the hippocampus with respect to not only laminar but also morphological features. Unsupervised clustering of these features revealed subdivisions that …