Abstract #0584

Quantitative correlations of propagator metrics with phosphorylated tau and astrogliosis in chronic traumatic encephalopathy

Mihika Gangolli^1,2,3, Sinisa Pajevic^4,5, Elizabeth B. Hutchinson^5,6, Joong Hee Kim^1,2,7, Dan Benjamini^1,8, and Peter J. Basser^1,5

¹Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States, ²The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States, ³Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, ⁴Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States, ⁵Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, ⁶Biomedical Engineering, University of Arizona, Tucson, AZ, United States, ⁷Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, ⁸Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States

Synopsis

Keywords: Neurodegeneration, Diffusion/other diffusion imaging techniquesPropagator metrics computed from high spatial resolution diffusion MRI data are correlated with histopathological assessments of phosphorylated tau (p-tau) and astrogliosis in tissue specimen with a diagnosis of Stage III/IV chronic traumatic encephalopathy (CTE). Region of interest based analysis showed significant correlations of p-tau with non-Gaussianity (NG) in deep cortical gray matter and of propagator anisotropy (PA) with astrogliosis in superficial cortical white matter. An unsupervised clustering approach with PA and NG as inputs is then used to segment MR data of tissue specimen into clusters to determine whether propagator metrics can be utilized to detect underlying pathology.

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