Abstract #0686

Mapping temporal order of whole brain volumetric changes using change point analysis in premanifest Hungtington Disease

Dan Wu¹, Laurent Younes^2,3,4, Andreia V Faria¹, Christopher A Ross⁵, Susumu Mori^1,6, and Michael I Miller^3,4,7

¹Radiology, Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, ²Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States, ³Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States, ⁴Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States, ⁵Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, ⁶F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ⁷Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States

In order to understand the temporal and spatial order of brain atrophy in Huntington’s disease (HD), we aim to characterize the whole brain volumetric changes based on T1-weighted whole brain segmentation. We adapted a novel multi-variant linear statistical model to capture the change points of volumetric changing courses from 412 control and HD subjects. The change point analysis revealed that the brain atrophy initiated in the deep gray matter structures and progressed to the peripheral white matter and cortical regions, and it also suggested the posterior brain atrophy proceeded the anterior brain.

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