Structural and functional connectivity index (SFCI) is a composite metric that combines structural and functional connectivity along different functionally specific pathways in multiple sclerosis. Performing functional connectivity and diffusion tensor imaging scans, we show that motor and cognitive pathway-combined SFCI is closely associated with multiple sclerosis functional composite, a composite neurological metric. Pathway-combined SFCI shows stronger association with MSFC than motor or cognitive pathway-specific composite metrics. Results from this study support the use of SFCI and composite pathway-based imaging measures as surrogate biomarkers for MS disease status and progression.
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