Samiul Hayder Choudhury1,
Michael Richard Smith2, 3, Bradley Goodyear3,
Fiona Costello4
1Electrical
and Computer Engineering , University of Calgary, Calgary, Alberta, Canada; 2Electrical
and Computer Engineering, University of Calgary, Calgary, Alberta, Canada; 3Department
of Radiology, University of Calgary, Calgary, Alberta, Canada; 4Department
of Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
Reliable imaging biomarkers can be developed using Optic Neuritis (ON) as a system model which are essential for advanced treatment and pathology of Multiple Sclerosis. We propose an approach of differentiating healthy persons from ON patients by transfer function analysis between brain regions that are correlated in optical activity during resting state. We provide receiver operator characteristic analysis results on various transfer function metrics and compare the results with existing outcomes. Our analysis suggests that with proper choice of threshold and decision metrics we can better differentiate subject groups for both lower and higher order visual information propagation.