Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Life Sciences
An Approach For The In-Vivo Characterization Of Brain And Heart Inflammation In Duchenne Muscular Dystrophy, Joanne Tang
An Approach For The In-Vivo Characterization Of Brain And Heart Inflammation In Duchenne Muscular Dystrophy, Joanne Tang
Electronic Thesis and Dissertation Repository
Duchenne muscular dystrophy (DMD) is a neuromuscular disorder caused by dystrophin loss—notably within muscles and CNS neurons. DMD presents as cognitive weakness, progressive skeletal and cardiac muscle degeneration until pre-mature death from cardiac or respiratory failure. Innovative therapies improved life expectancy, but this is accompanied by increased late-onset heart failure and emergent cognitive degeneration. Thus, there is an increasing need to both better understand and track disease pathophysiology in the dystrophic heart and brain prior to onset of severe degenerative symptoms. Chronic inflammation is strongly associated with skeletal and cardiac muscle degeneration, however chronic neuroinflammation’s role is largely unknown in …
Functional Generalized Linear Models With Images As Predictors, Philip T. Reiss, R. Todd Ogden
Functional Generalized Linear Models With Images As Predictors, Philip T. Reiss, R. Todd Ogden
Philip T. Reiss
Functional principal component regression (FPCR) is a promising new method for regressing scalar outcomes on functional predictors. In this paper we present a theoretical justification for the use of principal components in functional regression. FPCR is then extended in two directions: from linear to the generalized linear modeling, and from univariate signal predictors to high-resolution image predictors. We show how to implement the method efficiently by adapting generalized additive model technology to the functional regression context. A technique is proposed for estimating simultaneous confidence bands for the coefficient function; in the neuroimaging setting, this yields a novel means to identify …