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3D Exploration of the Brainstem in 50-Micron Resolution MRI

Authors :
Richard Jarrett Rushmore
Peter Wilson-Braun
George Papadimitriou
Isaac Ng
Yogesh Rathi
Fan Zhang
Lauren Jean O’Donnell
Marek Kubicki
Sylvain Bouix
Edward Yeterian
Jean-Jacques Lemaire
Evan Calabrese
G. Allan Johnson
Ron Kikinis
Nikos Makris
Source :
Frontiers in Neuroanatomy, Vol 14 (2020)
Publication Year :
2020
Publisher :
Frontiers Media S.A., 2020.

Abstract

The brainstem, a structure of vital importance in mammals, is currently becoming a principal focus in cognitive, affective, and clinical neuroscience. Midbrain, pontine and medullary structures serve as the conduit for signals between the forebrain and spinal cord, are the epicenter of cranial nerve-circuits and systems, and subserve such integrative functions as consciousness, emotional processing, pain, and motivation. In this study, we parcellated the nuclear masses and the principal fiber pathways that were visible in a high-resolution T2-weighted MRI dataset of 50-micron isotropic voxels of a postmortem human brainstem. Based on this analysis, we generated a detailed map of the human brainstem. To assess the validity of our maps, we compared our observations with histological maps of traditional human brainstem atlases. Given the unique capability of MRI-based morphometric analysis in generating and preserving the morphology of 3D objects from individual 2D sections, we reconstructed the motor, sensory and integrative neural systems of the brainstem and rendered them in 3D representations. We anticipate the utilization of these maps by the neuroimaging community for applications in basic neuroscience as well as in neurology, psychiatry, and neurosurgery, due to their versatile computational nature in 2D and 3D representations in a publicly available capacity.

Details

Language :
English
ISSN :
16625129
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neuroanatomy
Publication Type :
Academic Journal
Accession number :
edsdoj.416b4ec5e1c0407cac3100fc02965d72
Document Type :
article
Full Text :
https://doi.org/10.3389/fnana.2020.00040