Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset

• Published in: Scientific data Vol. 2; no. 1; p. 150059
• Main Authors: Kulaga-Yoskovitz, Jessie, Bernhardt, Boris C., Hong, Seok-Jun, Mansi, Tommaso, Liang, Kevin E., van der Kouwe, Andre J.W., Smallwood, Jonathan, Bernasconi, Andrea, Bernasconi, Neda
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.11.2015; Nature Publishing Group
• Subjects: 631/1647/245/1628; 631/378; 692/617; 692/698/1688/64; 692/700/1421/65; Algorithms; Brain Mapping; Data Descriptor; Dentate Gyrus - anatomy & histology; Hippocampus - anatomy & histology; Humanities and Social Sciences; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; multidisciplinary; Science; Brain; Neurology; Neuroscience; Brain imaging; Magnetic resonance imaging
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/sdata.2015.59

The hippocampus is composed of distinct anatomical subregions that participate in multiple cognitive processes and are differentially affected in prevalent neurological and psychiatric conditions. Advances in high-field MRI allow for the non-invasive identification of hippocampal substructure. These approaches, however, demand time-consuming manual segmentation that relies heavily on anatomical expertise. Here, we share manual labels and associated high-resolution MRI data (MNI-HISUB25; submillimetric T1- and T2-weighted images, detailed sequence information, and stereotaxic probabilistic anatomical maps) based on 25 healthy subjects. Data were acquired on a widely available 3 Tesla MRI system using a 32 phased-array head coil. The protocol divided the hippocampal formation into three subregions: subicular complex, merged Cornu Ammonis 1, 2 and 3 (CA1-3) subfields, and CA4-dentate gyrus (CA4-DG). Segmentation was guided by consistent intensity and morphology characteristics of the densely myelinated molecular layer together with few geometry-based boundaries flexible to overall mesiotemporal anatomy, and achieved excellent intra-/inter-rater reliability (Dice index ≥90/87%). The dataset can inform neuroimaging assessments of the mesiotemporal lobe and help to develop segmentation algorithms relevant for basic and clinical neurosciences. Design Type(s) repeated measure design • digital curation Measurement Type(s) nuclear magnetic resonance assay Technology Type(s) MRI Scanner Factor Type(s) Sample Characteristic(s) Homo sapiens • hippocampal formation Machine-accessible metadata file describing the reported data (ISA-Tab format)