Mark J Lowe1, Katherine Koenig1, Erik Beall1, Jian Lin1, Ken Sakaie1, Lael Stone2, and Micheal D. Phillips1
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States
Based on the observation that anatomic and functional
connectivity measures in multiple sclerosis (MS) are correlated, but not highly
correlated, we propose to combine these metrics into an imaging based measure
of disease progression. We show that this metric is sensitive to disease
progression in a cohort of MS patients over a time period of one year.
