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Abstract #0501

Anatomical Connectivity Mapping Measuring Connectivity Changes in Multiple Sclerosis

M. Lyksborg1, 2, R. Larsen1, P. S. Srensen3, M. Blinkenberg3, A. Dogonowski2, E. Garde2, G. J.M. Parker4, H. R. Siebner2, T. B. Dyrby2

1Technical University Of Denmark, Kgs. Lyngby, Denmark; 2Danish Research Centre for Magnetic Resonance, Hvidovre Hospital, Hvidovre, Denmark; 3Danish Multiple Sclerosis Research Center, Denmark; 4University Of Manchester, United Kingdom

Multiple sclerosis is a disease with a highly heterogeneous disease pattern where lesions along a given tract may have varying impact on the global anatomical connectivity of the underlying axons. In the following we demonstrate how the technique of Anatomical Connectivity Mapping is capable of quantifying anatomical connectivity differences between two patient groups with High/low EDSS disease scores. Strong group differences are seen along corticospinal tract, in cerebellar white matter and subcortical white matter in the visual cortex. Results show that such differences are not distinguishable with traditional diffusion measures.

Keywords

able anatomical assuming atlas automatic axons besides bias bottom brain capsule cerebellar clinician cluster clustering clusters common comparing complementary comprehensive conductivity connectivity considerably consist consisting cook coronal corrected correlate council count counting counts criteria critical danish decreased decreases deformation deformed deforming diffusion disability disease done eddy errors extend fact field fitted fractional global handicap heterogeneous hypothesis impact impairment included indicated individual instance integrity isotropic lesions linear local locally made making manual mapping maps mask masks matrix maximal measurable measuring models motor multilevel normalization open orientation part particularly pathology pathways patients pattern positive posterior preprocessed previous probabilistic problematic profile properties reflects regards registration report rest retaining reveal rigid sample scale scanner sclerosis score scores secondary seed segmentation sensitive several significance significantly since sliced source space spatial spline spurious stability statistics streamline strength studies subject subsequent suggest systems technical tensor tensors tool towards tract tracts usually variation varying warp white whole wise yield