Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis

Article ID	Journal	Published Year	Pages	File Type
6035109	NeuroImage	2011	9 Pages	PDF

Abstract

âº White-matter tract-specific imaging data vary with spatial position. âº Spatially normalized tract profiles quantify spatial variation in these data. âº Penalized functional regression estimates influences of this variation on outcomes. âº In multiple sclerosis, the analysis yields abnormality scores for each tract. âº Spatial variation must be considered when assessing correlations with clinical outcomes.

Keywords

Timed 25-Foot Walk PPMS Multiple Sclerosis Severity Score MSSS SPMS MTR RRMs 9HPT Corpus callosum EDSS EPI primary-progressive multiple sclerosis DTI PFR MSFC ROC ROI CIS CSt standard deviation Optic radiation Functional data analysis Echo-planar imaging diffusion tensor imaging corticospinal tract Regression methods echo time Repetition time clinically isolated syndrome mean diffusivity Expanded Disability Status Scale region of interest relapsing–remitting multiple sclerosis Multiple sclerosis fractional anisotropy magnetization transfer ratio Multiple sclerosis functional composite receiver operating characteristic