4.7 Article

Structural connectivity of autonomic, pain, limbic, and sensory brainstem nuclei in living humans based on 7 Tesla and 3 Tesla MRI

Journal

HUMAN BRAIN MAPPING
Volume 43, Issue 10, Pages 3086-3112

Publisher

WILEY
DOI: 10.1002/hbm.25836

Keywords

7 Tesla MRI; autonomic/pain/limbic/sensory network; brainstem; human structural connectome

Funding

  1. Harvard Mind Brain Behavior
  2. Italian Ministry of Health [RF2019-12369194]
  3. IRCCS Fondazione Santa Lucia
  4. MGH Claflin Award
  5. National Institute of Biomedical Imaging and Bioengineering [NIBIB-K01EB019474]
  6. National Institute on Deafness and Other Communication Disorders [NIDCD-R21DC015888]
  7. NIA [R01AG063982]
  8. U.S. Department of Defense Congressionally Directed Medical Research Program [W81XWH1810760 PT170028]
  9. U.S. Department of Defense
  10. Ministry of Health
  11. National Institutes of Health [PT170028, W81XWH1810760]
  12. U.S. Department of Defense (DOD) [W81XWH1810760] Funding Source: U.S. Department of Defense (DOD)

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This study mapped a probabilistic brainstem nuclei atlas to high-resolution and diffusion weighted imaging in living humans, exploring the structural connectome of autonomic, pain, limbic, and sensory brainstem nuclei. Results demonstrated high intercommunity communication among these nuclei, with good translational capability of the 7 Tesla connectome to clinical datasets. Validation of the structural connectome through building connectivity diagrams and inspecting specific links provides a baseline for future studies on the functions of these nuclei.
Autonomic, pain, limbic, and sensory processes are mainly governed by the central nervous system, with brainstem nuclei as relay centers for these crucial functions. Yet, the structural connectivity of brainstem nuclei in living humans remains understudied. These tiny structures are difficult to locate using conventional in vivo MRI, and ex vivo brainstem nuclei atlases lack precise and automatic transformability to in vivo images. To fill this gap, we mapped our recently developed probabilistic brainstem nuclei atlas developed in living humans to high-spatial resolution (1.7 mm isotropic) and diffusion weighted imaging (DWI) at 7 Tesla in 20 healthy participants. To demonstrate clinical translatability, we also acquired 3 Tesla DWI with conventional resolution (2.5 mm isotropic) in the same participants. Results showed the structural connectome of 15 autonomic, pain, limbic, and sensory (including vestibular) brainstem nuclei/nuclei complex (superior/inferior colliculi, ventral tegmental area-parabrachial pigmented, microcellular tegmental-parabigeminal, lateral/medial parabrachial, vestibular, superior olivary, superior/inferior medullary reticular formation, viscerosensory motor, raphe magnus/pallidus/obscurus, parvicellular reticular nucleus-alpha part), derived from probabilistic tractography computation. Through graph measure analysis, we identified network hubs and demonstrated high intercommunity communication in these nuclei. We found good (r = .5) translational capability of the 7 Tesla connectome to clinical (i.e., 3 Tesla) datasets. Furthermore, we validated the structural connectome by building diagrams of autonomic/pain/limbic connectivity, vestibular connectivity, and their interactions, and by inspecting the presence of specific links based on human and animal literature. These findings offer a baseline for studies of these brainstem nuclei and their functions in health and disease, including autonomic dysfunction, chronic pain, psychiatric, and vestibular disorders.

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