Abstract #0402
Combined functional and tractography connectome to investigate Alzheimer brain networks
Fulvia Palesi 1,2 , Gloria Castellazzi 2,3 , Elena Sinforiani 4 , Paolo Vitali 5,6 , Claudia A. M. Wheeler-Kingshott 7 , and Egidio D'Angelo 2,6
1
Department of Physics, University of Pavia,
Pavia, PV, Italy,
2
Brain
Connectivity Center, C. Mondino National Neurological
Institute, Pavia, PV, Italy,
3
Department of
Electrical, Computer and Biomedical Engineering,
University of Pavia, Pavia, PV, Italy,
4
Neurology
Unit, C. Mondino National Neurological Institute, Pavia,
PV, Italy,
5
Brain
MRI 3T Mondino Research Center, C. Mondino National
Neurological Institute, Pavia, PV, Italy,
6
Department
of Brain and Behavioral Sciences, University of Pavia,
Pavia, PV, Italy,
7
NMR
Research Unit, Department of Neuroinflammation, Queen
Square MS Centre, UCL Institute of Neurology, London,
England, United Kingdom
Several resting-state fMRI studies have revealed a
generalized alteration of the resting state networks
(RSNs) in patients affected by Alzheimers disease but
few studies have focused on the interaction between
functional and structural global connectivity. We
developed a small-world approach combining RSNs (nodes)
and probabilistic tractography (edges) to investigate
structural alterations inside those networks that were
functionally impaired by the pathology. Our findings
suggest that mean diffusivity is the best marker for
graph-theory calculations and that it is essential to
assess both functional and structural connectivity of
RSNs to understand different stages of brain pathology
and their evolution.
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