Hippocampal subfields revealed through unfolding and unsupervised clustering of laminar and morphological features in 3D BigBrain

• Published in: NeuroImage (Orlando, Fla.) Vol. 206; p. 116328
• Main Authors: DeKraker, J., Lau, J.C., Ferko, K.M., Khan, A.R., Köhler, S.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.02.2020; Elsevier Limited; Elsevier
• Subjects: CA1 Region, Hippocampal - anatomy & histology; CA2 Region, Hippocampal - anatomy & histology; CA3 Region, Hippocampal - anatomy & histology; Cluster Analysis; Cortical folding; Cortical unfolding; Datasets; Datasets as Topic; Dentate Gyrus - anatomy & histology; Hippocampus; Hippocampus - anatomy & histology; Histology; Humans; Imaging, Three-Dimensional; Magnetic resonance imaging; Models, Anatomic; Morphology; Neocortex; Neuroimaging; Principal Component Analysis; Subfields; Unsupervised Machine Learning; Subfields; Histology; Cortical unfolding; Cortical folding; Morphology; Hippocampus

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 cove...