Frontiers in Neuroanatomy (Sep 2020)
3D Exploration of the Brainstem in 50-Micron Resolution MRI
- Richard Jarrett Rushmore,
- Richard Jarrett Rushmore,
- Richard Jarrett Rushmore,
- Peter Wilson-Braun,
- Peter Wilson-Braun,
- George Papadimitriou,
- Isaac Ng,
- Yogesh Rathi,
- Yogesh Rathi,
- Fan Zhang,
- Fan Zhang,
- Fan Zhang,
- Lauren Jean O’Donnell,
- Lauren Jean O’Donnell,
- Lauren Jean O’Donnell,
- Marek Kubicki,
- Marek Kubicki,
- Marek Kubicki,
- Sylvain Bouix,
- Edward Yeterian,
- Jean-Jacques Lemaire,
- Evan Calabrese,
- G. Allan Johnson,
- Ron Kikinis,
- Ron Kikinis,
- Ron Kikinis,
- Nikos Makris,
- Nikos Makris,
- Nikos Makris,
- Nikos Makris
Affiliations
- Richard Jarrett Rushmore
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Richard Jarrett Rushmore
- Psychiatric Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
- Richard Jarrett Rushmore
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States
- Peter Wilson-Braun
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Peter Wilson-Braun
- Psychiatric Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
- George Papadimitriou
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Isaac Ng
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Yogesh Rathi
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Yogesh Rathi
- Psychiatric Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
- Fan Zhang
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Fan Zhang
- Laboratory for Mathematics and Imaging, Brigham and Women’s Hospital, Boston, MA, United States
- Fan Zhang
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States
- Lauren Jean O’Donnell
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Lauren Jean O’Donnell
- Laboratory for Mathematics and Imaging, Brigham and Women’s Hospital, Boston, MA, United States
- Lauren Jean O’Donnell
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States
- Marek Kubicki
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Marek Kubicki
- Psychiatric Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
- Marek Kubicki
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Sylvain Bouix
- Psychiatric Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
- Edward Yeterian
- Department of Psychology, Colby College, Waterville, ME, United States
- Jean-Jacques Lemaire
- Service de Neurochirurgie, CHU Clermont-Ferrand, Universite Clermont Auvergne, CNRS, SIGMA Clermont, Clermont-Ferrand, France
- Evan Calabrese
- Department of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States
- G. Allan Johnson
- Department of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States
- Ron Kikinis
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Ron Kikinis
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States
- Ron Kikinis
- 0Computer Science Department, University of Bremen, Institutsleiter, Fraunhofer MEVIS, Bremen, Germany
- Nikos Makris
- Departments of Psychiatry and Neurology, Center for Morphometric Analysis, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Nikos Makris
- Psychiatric Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States
- Nikos Makris
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States
- Nikos Makris
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- DOI
- https://doi.org/10.3389/fnana.2020.00040
- Journal volume & issue
-
Vol. 14
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.
Keywords
- ultrahigh-resolution MRI
- human brainstem anatomy
- neuroimaging
- ontology
- terminologia anatomica
- brainstem atlas
