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Abstract #4492

Diffusion tensor metrics in regions functionally activated in resting-state fMRI for a test cohort with multiple sclerosis

Weronika Mazur-Rosmus1, Agnieszka Słowik2, and Artur Tadeusz Krzyżak1
1AGH University of Krakow, Krakow, Poland, 2University Hospital in Krakow, Krakow, Poland

Synopsis

Keywords: DWI/DTI/DKI, Multiple Sclerosis

Motivation: The diagnosis of multiple sclerosis (MS) based on DTI and resting-state fMRI is currently not standardized.

Goal(s): Investigation of DTI metrics differences in cerebellum, deep and superficial grey matter in the activation areas obtained from rs-fMRI analysis.

Approach: Seed-based connectivity (SBC) analysis was from which activation area masks were obtained. DTI metrics and F-statistics were analyzed in these masks in native DTI space.

Results: DTI metrics were significantly different for healthy controls and MS and very weakly correlated with F-statistics from SBC. Systematic error reduction by BSD method yielded large effect size for DTI metrics.

Impact: The proposed approach showed potential for the use of DTI metrics in the assessment of the grey matter structure change due to MS specifically in rs-fMRI activation areas and for BSD to improve quantitative parametrization of MS.

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