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    Feed-forward and Feedback Control in Astrocytes for Ca2+-based Molecular Communications Nanonetworks

    Taynnan Barros, Michael and Dey, Subhrakanti (2018) Feed-forward and Feedback Control in Astrocytes for Ca2+-based Molecular Communications Nanonetworks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6. pp. 78904-78917. ISSN 1545-5963

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    Synaptic plasticity depends on the gliotransmitters’ concentration in the synaptic channel. And, an abnormal concentration of gliotransmitters is linked to neurodegenerative diseases, including Alzheimer’s, Parkinson’s, and epilepsy. In this paper, a theoretical investigation of the cause of the abnormal concentration of gliotransmitters and how to achieve its control is presented through a Ca2+-signalling-based molecular communications framework. A feed-forward and feedback control technique is used to manipulate IP3 values to stabilise the concentration of Ca2+ inside the astrocytes. The theoretical analysis of the given model aims i) to stabilize the Ca2+ concentration around a particular desired level in order to prevent abnormal gliotransmitters’ concentration (extremely high or low concentration can result in neurodegeneration), ii) to improve the molecular communication performance that utilises Ca2+ signalling, and maintain gliotransmitters’ regulation remotely. It shows that the refractory periods from Ca2+ can be maintained to lower the noise propagation resulting in smaller time-slots for bit transmission, which can also improve the delay and gain performances. The proposed approach can potentially lead to novel nanomedicine solutions for the treatment of neurodegenerative diseases, where a combination of nanotechnology and gene therapy approaches can be used to elicit the regulated Ca2+ signalling in astrocytes, ultimately improving neuronal activity.

    Item Type: Article
    Keywords: Synapses; Neurons; Mathematical model; Molecular communication; Diseases; Molecular Communication; Tripartite Synapses; Ca2+ Signalling; Astrocytes; Control Theory; Oscillators; Feedback control;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 12697
    Identification Number:
    Depositing User: Subhrakanti Dey
    Date Deposited: 02 Apr 2020 11:00
    Journal or Publication Title: IEEE/ACM Transactions on Computational Biology and Bioinformatics
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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