期刊
IEEE ACCESS
卷 6, 期 -, 页码 78904-78917出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2018.2885518
关键词
Molecular communications; nanonetworks; bionano sensing; communication theory; Alzheimer's
资金
- Science Foundation Ireland via the CONNECT Research Centre [13/RC/2077]
- Irish Research Council through the Government of Ireland Post-Doctoral Fellowship [GOIPD/2016/650]
- Irish Research Council (IRC) [GOIPD/2016/650] Funding Source: Irish Research Council (IRC)
The Internet of Bio-Nano-Things is a new paradigm that can bring novel remotely controlled actuation and sensing techniques inside the human body. Toward precise bionano sensing techniques in the brain, we investigate the challenges of modeling spatial distribution of astrocyte networks by developing a mathematical framework that lays the groundwork for future early detection techniques of the neurode-generative disease. In this paper, we investigate the effect of the beta-amyloid plaques in astrocytes with Alzheimer's disease. We developed a computation model of healthy and Alzheimer's diseases astrocytes networks from the state-of-the-art models and results that account for the intracellular pathways, IP3 dynamics, gap junctions, voltage-gated calcium channels, and astrocytes volumes. We also implemented different types of astrocytes network topologies, including shortcut networks, regular degree networks, Erdos Renyi networks, and link radius networks. A proposed multi-scale stochastic computational model captures the relationship between the intracellular and intercellular scales. Finally, we designed and evaluated a single-hop communication system with frequency modulation using metrics such as propagation extend, molecular delay, and channel gain. The results show that the more unstable but at the same time lower level oscillations of Alzheimer's astrocyte networks can create a multi-scale effect on communication between astrocytes with increased molecular delay and lower channel gain compared to healthy astrocytes, with an elevated impact on Erdos Renyi network and link radius network topologies.
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