In silico modelling of neuron signal impact of cytokine storm-induced demyelination.
Open Biol
; 14(9): 240138, 2024 Sep.
Article
in En
| MEDLINE
| ID: mdl-39226928
ABSTRACT
In this study, we develop an in silico model of a neuron's behaviour under demyelination caused by a cytokine storm to investigate the effects of viral infections in the brain. We use a comprehensive model to measure how cytokine-induced demyelination affects the propagation of action potential (AP) signals within a neuron. We analysed the effects of neuron-neuron communications by applying information and communication theory at different levels of demyelination. Our simulations demonstrate that virus-induced degeneration can play a role in the signal power and spiking rate, which compromise the propagation and processing of information between neurons. We propose a transfer function to model the weakening effects on the AP. Our results show that demyelination induced by a cytokine storm not only degrades the signal but also impairs its propagation within the axon. Our proposed in silico model can analyse virus-induced neurodegeneration and enhance our understanding of virus-induced demyelination.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Computer Simulation
/
Demyelinating Diseases
/
Neurons
Limits:
Animals
/
Humans
Language:
En
Journal:
Open Biol
Year:
2024
Document type:
Article
Affiliation country:
Ireland
Country of publication:
United kingdom