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A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging.

Publication ,  Journal Article
Adil, SM; Calabrese, E; Charalambous, LT; Cook, JJ; Rahimpour, S; Atik, AF; Cofer, GP; Parente, BA; Johnson, GA; Lad, SP; White, LE
Published in: Neuroimage
August 15, 2021

Conventional atlases of the human brainstem are limited by the inflexible, sparsely-sampled, two-dimensional nature of histology, or the low spatial resolution of conventional magnetic resonance imaging (MRI). Postmortem high-resolution MRI circumvents the challenges associated with both modalities. A single human brainstem specimen extending from the rostral diencephalon through the caudal medulla was prepared for imaging after the brain was removed from a 65-year-old male within 24 h of death. The specimen was formalin-fixed for two weeks, then rehydrated and placed in a custom-made MRI compatible tube and immersed in liquid fluorocarbon. MRI was performed in a 7-Tesla scanner with 120 unique diffusion directions. Acquisition time for anatomic and diffusion images were 14 h and 208 h, respectively. Segmentation was performed manually. Deterministic fiber tractography was done using strategically chosen regions of interest and avoidance, with manual editing using expert knowledge of human neuroanatomy. Anatomic and diffusion images were rendered with isotropic resolutions of 50 μm and 200 μm, respectively. Ninety different structures were segmented and labeled, and 11 different fiber bundles were rendered with tractography. The complete atlas is available online for interactive use at https://www.civmvoxport.vm.duke.edu/voxbase/login.php?return_url=%2Fvoxbase%2F. This atlas presents multiple contrasting datasets and selected tract reconstruction with unprecedented resolution for MR imaging of the human brainstem. There are immediate applications in neuroanatomical education, with the potential to serve future applications for neuroanatomical research and enhanced neurosurgical planning through "safe" zones of entry into the human brainstem.

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Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

August 15, 2021

Volume

237

Start / End Page

118135

Location

United States

Related Subject Headings

  • White Matter
  • Neurology & Neurosurgery
  • Humans
  • Gray Matter
  • Diffusion Tensor Imaging
  • Brain Stem
  • Autopsy
  • Atlases as Topic
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
 

Citation

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Adil, S. M., Calabrese, E., Charalambous, L. T., Cook, J. J., Rahimpour, S., Atik, A. F., … White, L. E. (2021). A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging. Neuroimage, 237, 118135. https://doi.org/10.1016/j.neuroimage.2021.118135
Adil, Syed M., Evan Calabrese, Lefko T. Charalambous, James J. Cook, Shervin Rahimpour, Ahmet F. Atik, Gary P. Cofer, et al. “A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging.Neuroimage 237 (August 15, 2021): 118135. https://doi.org/10.1016/j.neuroimage.2021.118135.
Adil SM, Calabrese E, Charalambous LT, Cook JJ, Rahimpour S, Atik AF, et al. A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging. Neuroimage. 2021 Aug 15;237:118135.
Adil, Syed M., et al. “A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging.Neuroimage, vol. 237, Aug. 2021, p. 118135. Pubmed, doi:10.1016/j.neuroimage.2021.118135.
Adil SM, Calabrese E, Charalambous LT, Cook JJ, Rahimpour S, Atik AF, Cofer GP, Parente BA, Johnson GA, Lad SP, White LE. A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging. Neuroimage. 2021 Aug 15;237:118135.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

August 15, 2021

Volume

237

Start / End Page

118135

Location

United States

Related Subject Headings

  • White Matter
  • Neurology & Neurosurgery
  • Humans
  • Gray Matter
  • Diffusion Tensor Imaging
  • Brain Stem
  • Autopsy
  • Atlases as Topic
  • 42 Health sciences
  • 32 Biomedical and clinical sciences