Title
Network attack simulations in Alzheimer's disease: The link between network tolerance and neurodegeneration
Abstract
The brain structure is a complex network of interconnected regions with specific topological characteristics. Since the disruption of this infrastructure has been linked to brain diseases, a key element to the quest for understanding how such diseases start and spread is to outline the degenerative pattern. In this paper, we explored this aspect using network attack simulation on the structural connectomes of 60 patients among Alzheimer's disease (AD) and mild cognitive impairment (MCI) and 30 healthy subjects. We considered different attack strategies and different metrics to evaluate and compare the induced changes between the different groups. We found out that patients and controls share common attack tolerance patterns in the peripheral connections compared to each other, and that hubs played analogous role in the tolerance impact. These results suggest that the spreading pattern of Alzheimer's disease does not target specific class of regions.
Year
DOI
Venue
2016
10.1109/ISBI.2016.7493253
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Keywords
Field
DocType
brain network,connectome,diffusion tractography,graph theory,network attack,Alzheimer's disease
Brain network,Disease,Neuroscience,Pattern recognition,Computer science,Connectome,Attack tolerance,Neurodegeneration,Complex network,Artificial intelligence,Network attack,Cognitive impairment
Conference
ISSN
Citations 
PageRank 
1945-7928
1
0.37
References 
Authors
4
7
Name
Order
Citations
PageRank
Matteo Mancini143.24
Marcel A. de Reus21307.58
Laura Serra3131.49
Marco Bozzali4808.03
Martijn P. van den Heuvel516010.43
Mara Cercignani68611.92
Silvia Conforto79419.87