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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 Pöttgen1,2, Iris-Katharina Penner3,4, Andreas K. Engel5, Christoph Heesen1,2, Stefan M. Gold1,6, and Jan-Patrick Stellmann1,2,7,8
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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