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.
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