Publications by authors named "G Adonias"

Article Synopsis
  • - This study creates a model to explore how a cytokine storm, caused by viral infections, leads to demyelination and affects neuron behavior, especially regarding action potential signal propagation.
  • - By applying information and communication theory, the researchers examine how demyelination alters neuron-to-neuron communication, indicating that virus-induced degeneration impacts signal strength and firing rates.
  • - The findings suggest that demyelination not only weakens the action potential signals but also disrupts their travel along the axon, helping to enhance knowledge of neurodegeneration linked to viral infections.
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Objective: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Delta variant was classified as a variant of concern in May 2021 due to its increased transmissibility. It became dominant in Europe during the summer, raising concerns on the effectiveness of vaccines. We assessed the vaccine effectiveness (VE) of mRNA BNT162b2 (BioNTech-Pfizer) against SARS-CoV-2 Delta variant during an outbreak affecting long-term care facility (LTCF) residents in southern France, May 2021.

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Demyelination of neurons can compromise the communication performance between the cells as the absence of myelin attenuates the action potential propagated through the axonal pathway. In this work, we propose a hybrid experimental and simulation model for analyzing the demyelination effects on neuron communication. The experiment involves locally induced demyelination using Lysolecithin and from this, a myelination index is empirically estimated from analysis of cell images.

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High-frequency firing activity can be induced either naturally in a healthy brain as a result of the processing of sensory stimuli or as an uncontrolled synchronous activity characterizing epileptic seizures. As part of this work, we investigate how logic circuits that are engineered in neurons can be used to design spike filters, attenuating high-frequency activity in a neuronal network that can be used to minimize the effects of neurodegenerative disorders such as epilepsy. We propose a reconfigurable filter design built from small neuronal networks that behave as digital logic circuits.

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