Meeting Banner
Abstract #0627

Neurodegeneration simulation in the connectome: a heuristic approach to unfold the key white matter pathways in Alzheimer’s disease

Matteo Mancini1, Marcel A. de Reus2, Laura Serra3, Marco Bozzali3, Martijn van den Heuvel2, Mara Cercignani3,4, and Silvia Conforto1

1Department of Engineering, University of Rome "Roma Tre", Rome, Italy, 2Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands, 3Neuroimaging Laboratory, IRCSS Santa Lucia Foundation, Rome, Italy, 4Brighton & Sussex Medical School, Clinical Imaging Sciences Centre, University of Sussex, Brighton, United Kingdom

In order to identify the white matter impairment that could lead to Alzheimer’s disease (AD), we combined computational simulations with a graph theoretical approach. We reconstructed the structural connectome of AD patients and healthy controls by means of diffusion tensor imaging, and characterized the differences between the two groups using graph theoretical measures. We then simulated neurodegeneration processes in the controls using two different heuristic algorithms. We were able to reproduce the AD disruption pattern in the controls, and we observed a relevant role of the connections between hubs and peripheral regions in the simulated damaging process.

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

Join Here