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The Internet of Bio-Nano-Things is a new paradigm that can bring novelremotely controlled actuation and sensing techniques inside the human body.Towards precise bionano sensing techniques in the brain, we investigate thechallenges of modelling spatial distribution of astrocyte networks indeveloping a mathematical framework that lay the groundwork for futureearly-detection techniques of neurodegenerative disease. In this paper, weinvestigate the effect of the $\beta$-amyloid plaques in astrocytes with theAlzheimer's disease. We developed a computation model of healthy andAlzheimer's diseases astrocytes networks from the state of the art models andresults that account for the intracellular pathways, IP$_3$ dynamics, gapjunctions, voltage-gated calcium channels and astrocytes volumes. We alsoimplemented different types of astrocytes network topologies including shortcutnetworks, regular degree networks, Erd\"os R\'enyi networks and link radiusnetworks. A proposed multi-scale stochastic computational model captures therelationship between the intracellular and intercellular scales. Lastly, wedesigned and evaluated a single-hop communication system with frequencymodulation using metrics such as propagation extend, molecular delay andchannel gain. The results show that the more unstable but at the same timelower level oscillations of Alzheimer's astrocyte networks can create amulti-scale effect on communication between astrocytes with increased moleculardelay and lower channel gain compared to healthy astrocytes, with an elevatedimpact on Erd\"os R\'enyi networks and link radius networks topologies.

The Multi-Scale Impact of the Alzheimer's Disease in the Topology Diversity of Astrocytes Molecular Communications Nanonetworks