Abstract #2081

Voxel-Based Brain Morphometry: an Optimized Image Analysis Pipeline and Proof-of-Concept in a Non-human Primate Model of Ebola Virus Infection

Byeong-Yeul Lee¹, Ji Hyun Lee², Jeffrey Solomon³, Marcelo Castro¹, Venkatesh Mani¹, Joseph Laux¹, Winston T. Chu², Matthew G. Lackemeyer¹, Jordan K. Bohannon⁴, Anna N. Honko⁵, Ian Crozier³, Jens H. Kuhn¹, and Claudia Calcagno¹

¹Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, United States, ²Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, ³Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, United States, ⁴National Biodefense Analysis and Countermeasures Center, Frederick, MD, United States, ⁵Boston University School of Medicine, Microbiology, Boston, MA, United States

Synopsis

Keywords: Infectious disease, Infectious diseaseWe present an optimized voxel-based morphometry magnetic resonance imaging (MRI) analysis pipeline for non-human primate brain images, and its preliminary application in Ebola virus (EBOV)-exposed rhesus monkeys. Results suggest the optimized pipeline can detect brain morphometric changes after EBOV exposure in this model. Further analyses will be required to confirm and build upon these findings, including their implications for acute and post-acute neurological findings in human survivors. Future studies may make use of this and other optimized, voxel-based pipelines to shed further light on the role of central nervous system involvement in EBOV and other infectious diseases.

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