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Abstract #3990

Tracking motor and cognitive network connectivity in MS over 2 years using SFCI, a pathway-combined connectivity metric

Pallab Bhattacharyya1, Robert Fox1, Jian Lin1, Ken Sakaie1, and Mark Lowe1
1Cleveland Clinic Foundation, CLEVELAND, OH, United States

Synopsis

Motor and cognitive network integrity in multiple sclerosis over 2 years in patients receiving the same therapy was tracked using structural and functional connectivity index (SFCI), a metric that combines functional and structural connectivity along function-specific pathways and then forms a pathway-combined composite metric. Changes of the individual measures, functional connectivity and transverse diffusivity along transcallosal motor and frontoparietal cognitive pathways, were also tracked over 2 years. Pathway-combined SFCI was more efficient in tracking network integrity than the individual imaging measures or pathway-specific composite metric.

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