Abstract #1380

Direct and inverse relations in default mode network detected by functional and structural substrate of cognition in mild Relapsing Remitting MS.

Arzu Ceylan Has Silemek¹, Lukas Fischer¹, Jana Pöttgen^1,2, Iris-Katharina Penner^3,4, Andreas K. Engel⁵, Christoph Heesen^1,2, Stefan M. Gold^1,6, and Jan-Patrick Stellmann^1,2,7,8

¹Institut für Neuroimmunologie und Multiple Sklerose (INIMS), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, ²Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, ³Klinik für Neurologie, Heinrich Heine Universität Düsseldorf, Düsseldorf, Germany, ⁴Zentrum für Angewandte Neurokognition und Neuropsychologische Forschung, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany, ⁵Institut für Neurophysiologie und Pathophysiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, ⁶Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Klinik für Psychiatrie & Psychotherapie und Medizinische Klinik m.S. Psychosomatik, Campus Benjamin Franklin (CBF), Berlin, Germany, ⁷CRMBM AMU-CNRS , Marseille, France, Marseille, France, ⁸CEMEREM, APHM, CHU Timone, Marseille France, Marseille, France

We utilized an approach combining DTI, RS-fMRI and graph-theory to characterize the relation between cognitive profiles and global and local network features in RRMS patients with mild to moderate disability. Closer association of structural network metrics with cognitive abilities were seen compared to standard-MRI outcomes and an interesting pattern of associations with a slight predominance of nodes located in the default mode network (DMN). While structural connectivity always showed a positive correlation with performance, the number of functional connections of nodes was mostly negatively correlated. DMN had inverse and direct relationships with memory, possible indicating adaptive and maladaptive mechanisms.

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