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From the same journal

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

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Author(s)

  • Jessie Kulaga-Yoskovitz
  • Boris C Bernhardt
  • Seok-Jun Hong
  • Tommaso Mansi
  • Kevin E Liang
  • Andre J W van der Kouwe
  • Jonathan Smallwood
  • Andrea Bernasconi
  • Neda Bernasconi

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Publication details

JournalScientific data
DateAccepted/In press - 7 Oct 2015
DatePublished (current) - 10 Nov 2015
Volume2
Number of pages9
Pages (from-to)1-9
Original languageEnglish

Abstract

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.

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© 2015, The Author(s).

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