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Activity Number: 88
Type: Invited
Date/Time: Sunday, July 31, 2016 : 6:00 PM to 8:00 PM
Sponsor: Biometrics Section
Abstract #320138
Title: Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis
Author(s): Elizabeth M. Sweeney* and Russell Shinohara and John Muschelli and Daniel Reich and Ciprian Crainiceanu and Jonathan Gellar and Philip Reiss and Ani Eloyan
Companies: Johns Hopkins Bloomberg School of Public Health and University of Pennsylvania and The Johns Hopkins University and National Institute of Neurological Disorders and Stroke and The Johns Hopkins University and Mathematica Policy Research and New York University/University of Haifa and Brown University
Keywords: MRI ; Multiple Sclerosis ; Biomarker ; Longitudinal Data ; Historical Functional Model ; Dimension Reduction

Multiple sclerosis (MS) is an inflammatory disease of the central nervous system that is characterized by brain and spinal cord lesions. The formation of MS lesions in the brain is a complex process involving inflammation, tissue damage, and tissue repair - all of which are visible on structural magnetic resonance imaging (MRI). In this poster, I will explore the data that arises from multi-sequence structural MRI from longitudinal studies in patients with MS. I will present two statistical problems with clinical relevance that arise from these data: (1) longitudinal MS lesion incidence detection and (2) the development of a biomarker for MS lesion repair. Longitudinal MS lesion incidence is modeled using a historical functional Cox regression model and the repair biomarker is the result of dimension reduction through principal component analysis.

Authors who are presenting talks have a * after their name.

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