In cerebrovascular networks, some vertices are more connected to each other than with the rest of vasculature, defining a community structure. Here, we introduce class model networks built by rewiring Random Regular Graphs, which enables reproduction this structure and topological properties networks. We use these study global flow reduction induced removal single edge. analytically show that c...

Although the vast majority of Alzheimer’s disease (AD) cases are of the sporadic type, mutations causing the familial form have been the focus of AD research for decades. The disease is pathologically characterised by β-amyloid (Aβ) and tau protein aggregates in neuritic plaques and neurofibrillary tangles. Furthermore, it is known that AD pathology spreads throughout the brain, most often alon...

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Magnetic resonance imaging (MRI) allows to display brain structures with highest resolution. To fully exploit the potential of this imagining modality, data mining methods are required to reveal subtle differences in brain structure caused by disorders such as Mild Cognitive Impairment (MCI) and early stage Alzheimers disease (AD). In this paper, we propose a data mining framework which combine...