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A high-resolution in vivo magnetic resonance imaging atlas of the human hypothalamic region

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 o...

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Bibliographic Details
Published in:Scientific data 2020-09, Vol.7 (1), p.305, Article 305
Main Authors: Neudorfer, Clemens, Germann, Jürgen, Elias, Gavin J. B., Gramer, Robert, Boutet, Alexandre, Lozano, Andres M.
Format: Article
Language:English
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Summary: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: https://doi.org/10.6084/m9.figshare.12888560
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-00644-6