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Neuroimage. 2018 Apr 15;170:222-230. doi: 10.1016/j.neuroimage.2017.04.070. Epub 2017 May 3.

A probabilistic template of human mesopontine tegmental nuclei from in vivo 7T MRI.

Author information

1
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: martab@mgh.harvard.edu.
2
Department of Neurosurgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: cstrong2@partners.org.
3
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Medical Physics Section, Department of Biomedicine and Prevention, Faculty of Medicine, University of Rome "Tor Vergata", Rome, Italy. Electronic address: toschi@med.uniroma2.it.
4
Department of Neurology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: bedlow@mgh.harvard.edu.
5
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; HST/CSAIL, MIT, Cambridge, MA, United States. Electronic address: fischl@nmr.mgh.harvard.edu.
6
Department of Anesthesia, Critical Care and Pain Medicine, MGH, Boston, MA, United States; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States; MIT-Harvard Health Science and Technology, Institute of Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States. Electronic address: enb@neurostat.mit.edu.
7
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: bruce@nmr.mgh.harvard.edu.
8
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: wald@nmr.mgh.harvard.edu.

Abstract

Mesopontine tegmental nuclei such as the cuneiform, pedunculotegmental, oral pontine reticular, paramedian raphe and caudal linear raphe nuclei, are deep brain structures involved in arousal and motor function. Dysfunction of these nuclei is implicated in the pathogenesis of disorders of consciousness and sleep, as well as in neurodegenerative diseases. However, their localization in conventional neuroimages of living humans is difficult due to limited image sensitivity and contrast, and a stereotaxic probabilistic neuroimaging template of these nuclei in humans does not exist. We used semi-automatic segmentation of single-subject 1.1mm-isotropic 7T diffusion-fractional-anisotropy and T2-weighted images in healthy adults to generate an in vivo probabilistic neuroimaging structural template of these nuclei in standard stereotaxic (Montreal Neurological Institute, MNI) space. The template was validated through independent manual delineation, as well as leave-one-out validation and evaluation of nuclei volumes. This template can enable localization of five mesopontine tegmental nuclei in conventional images (e.g. 1.5T, 3T) in future studies of arousal and motor physiology (e.g. sleep, anesthesia, locomotion) and pathology (e.g. disorders of consciousness, sleep disorders, Parkinson's disease). The 7T magnetic resonance imaging procedure for single-subject delineation of these nuclei may also prove useful for future 7T studies of arousal and motor mechanisms.

KEYWORDS:

Ascending arousal and motor systems; Cuneiform/pedunculotegmental/oral pontine reticular/paramedian raphe/caudal linear raphe nuclei; Human mesopontine tegmental nuclei; In vivo neuroimaging template; Multi-contrast 7T MRI

PMID:
28476663
PMCID:
PMC5670016
[Available on 2019-04-15]
DOI:
10.1016/j.neuroimage.2017.04.070
[Indexed for MEDLINE]

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