Abstract

The study of the hypothalamus and its topological changes provides valuable insights into underlying physiological and pathological processes. Owing to technological limitations, however, in vivo atlases detailing hypothalamic anatomy are currently lacking in the literature. In this work we aim to overcome this shortcoming by generating a high-resolution in vivo anatomical atlas of the human hypothalamic region. A minimum deformation averaging (MDA) pipeline was employed to produce a normalized, high-resolution template from multimodal magnetic resonance imaging (MRI) datasets. This template was used to delineate hypothalamic (n = 13) and extrahypothalamic (n = 12) gray and white matter structures. The reliability of the atlas was evaluated as a measure for voxel-wise volume overlap among raters. Clinical application was demonstrated by superimposing the atlas into datasets of patients diagnosed with a hypothalamic lesion (n = 1) or undergoing hypothalamic (n = 1) and forniceal (n = 1) deep brain stimulation (DBS). The present template serves as a substrate for segmentation of brain structures, specifically those featuring low contrast. Conversely, the segmented hypothalamic atlas may inform DBS programming procedures and may be employed in volumetric studies.

Measurement(s)

hypothalamus • information acquisition • gray matter of diencephalon • diencephalic white matter • sexual dimorphism • brain volume measurement • brain segmentation • neuroantomical mapping

Technology Type(s)

Magnetic Resonance Imaging • digital curation

Sample Characteristic - Organism

Homo sapiens

Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12888560

Details

Title
A high-resolution in vivo magnetic resonance imaging atlas of the human hypothalamic region
Author
Neudorfer Clemens 1   VIAFID ORCID Logo  ; Germann Jürgen 1   VIAFID ORCID Logo  ; Elias Gavin J B 1 ; Gramer, Robert 1 ; Boutet Alexandre 1   VIAFID ORCID Logo  ; Lozano, Andres M 1 

 University of Toronto, Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2442691559
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.