Meeting Banner
Abstract #4367

Multi-modal Analysis of Cortico-cortical Connectivity based on GM and WM Anatomical Properties: Application to Secondary Progressive Multiple Sclerosis

Emma Biondetti 1 , Jonathan D. Clayden 2 , Matteo Pardini 3,4 , Alessandra Bertoldo 5 , Declan T. Chard 4 , and Claudia A. M. Wheeler-Kingshott 4

1 UCL Department of Medical Physics and Biomedical Engineering, University College London, London, England, United Kingdom, 2 Developmental Imaging and Biophysics Section, UCL Institute of Child Health, University College London, London, England, United Kingdom, 3 Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy, 4 NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, England, United Kingdom, 5 University of Padova, Padova, Italy

In this work we identify a relevant pattern of connectivity between distinct areas of the brain cortex, based on data of healthy subjects. We weight the links between regions using either grey matter-derived or white matter-derived anatomical measures, forming two connectivity networks. We show that these networks detect the connectivity impairment that occurs in multiple sclerosis patients, therefore we suggest them as a tool for monitoring disease-related connectivity changes. We also show that these two networks reveal information about complementary systems, enabling the evaluation of connectivity damage due to modifications of different structures in the brain.

This abstract and the presentation materials are available to members only; a login is required.

Join Here