Mathematical Modeling and Simulation in Enteric Neurobiology

Miftahof, Roustem N.; Nam, Hong Gil; Wingate, David

doi:10.1142/9789812834812

Cited by 6 publications

(3 citation statements)

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“…IV-A. To obtain channel models of electrical communications in the MGBA over its neurons, the aforementioned studies should be complemented by existing mathematical and computational models from enteric neurobiology [21]. These computational models represent the natural communication processes in enteric nerves, their interconnections with the autonomic nerves, and the impact of these communications on muscle dynamics.…”

Section: A Physical Channel Models Of Communications Through Entericmentioning

confidence: 99%

“…These computational models represent the natural communication processes in enteric nerves, their interconnections with the autonomic nerves, and the impact of these communications on muscle dynamics. Models describing the chemistry, the morphology, and the connectivity of the ENS neurons can be found in the literature [21]. In addition, the result of electrical signals in the ENS such as muscle contractions and mucosal secretion are observable and measurable [22].…”

Section: A Physical Channel Models Of Communications Through Entericmentioning

confidence: 99%

“…On top of these models describing single neurons and connection of neurons, the topology of neuron interconnections is built either randomly into anatomically relevant mesh structures [28] or following the topology extracted by experiments. In addition, models of the interconnection with the autonomic nerves, and the correlated myoelectrical activity of the smooth muscle should be incorporated, as described in [21]. Noise should be also considered by integrating stochastic models, such as [29], [30].…”

Section: A Physical Channel Models Of Communications Through Entericmentioning

confidence: 99%

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Microbiome-Gut-Brain Axis as a Biomolecular Communication Network for the Internet of Bio-NanoThings

Akyildiz

Chen

Ghovanloo³

et al. 2019

IEEE Access

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This article presents fundamental challenges in the development of a self-sustainable and biocompatible network infrastructure to interconnect the next-generation electrical and biological wearable and implantable devices, i.e., the Internet of Bio-NanoThings. The direct contact of IoBNT devices with the human body, where the cells naturally communicate and organize into networks, suggests the possibility to exploit these biological communications for the device-to-device interconnection. The aim of this work is to investigate minimally invasive, heterogeneous, and externally accessible electrical/molecular communication channels to transmit information between these devices through the Microbiome-Gut-Brain Axis (MGBA), composed of the gut microbial community, the gut tissues, the enteric nervous system. A framework to develop a network infrastructure on top of the biological processes underlying the MGBA, and the intercommunications among its components is proposed. To implement this framework, the following challenges need to be tackled. First, physical channel models should be developed to quantitatively characterize electrical and molecular communications through the MGBA. Second, novel technological solutions in information modulation, coding and routing should be developed. Third, to support these efforts with experimental data, a first-of-a-kind implantable MGBA network probe device composed of a hub connected to an ensemble of electrical and molecular stimulation and sensing modules should be designed and engineered, together with an innovative gut-on-a-chip in-vitro model system. The discussion in this paper establishes the basis for a completely novel transdisciplinary networking domain at the core of the next-generation biomedical systems for pervasive, perpetual, and remote healthcare. INDEX TERMS Molecular communication, nanonetworks, Internet of Bio-NanoThings, intra-body networks, biomedical implants, biosensors. The associate editor coordinating the review of this manuscript and approving it for publication was Resul Das. As a result, nanotechnology and biotechnology-enabled wearable and implantable devices with ever increasing biocompatibility and operational autonomy are being developed. These devices promise to pervasively, perpetually, and precisely sense, process, control, and exchange body health parameters in real time, and allow remote interrogation, which we classify under the paradigm of the Internet of Bio-NanoThings (IoBNT) [2]. This paradigm will enable accurate sensing and control of complex biological dynamics

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Section: A Physical Channel Models Of Communications Through Entericmentioning

confidence: 99%

Section: A Physical Channel Models Of Communications Through Entericmentioning

confidence: 99%