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The important role of glial transmitters released by astrocytes in Alzheimer's disease: A perspective from dynamical modeling.

Authors :
Shen, Zhuan
Zhang, Honghui
Du, Lin
He, Xiaoyan
Sun, Xiaojuan
Source :
Chaos; Nov2023, Vol. 33 Issue 11, p1-15, 15p
Publication Year :
2023

Abstract

This paper aims to establish a coupling model of neuronal populations and astrocytes and, on this basis, explore the possible mechanism of electroencephalography (EEG) slowing in Alzheimer's disease (AD) from the viewpoint of dynamical modeling. First and foremost, excitatory and inhibitory time constants are shown to induce the early symptoms of AD. The corresponding dynamic nature is mainly due to changes in the amplitude and frequency of the oscillatory behavior. However, there are also a few cases that can be attributed to the change of the oscillation mode caused by the limit cycle bifurcation and birhythmicity. Then, an improved neural mass model influenced by astrocytes is proposed, considering the important effects of glutamate and adenosine triphosphate (ATP) released by astrocytes on the synaptic transmission process reported in experiments. The results show that a dysfunctional astrocyte disrupts the physiological state, causing three typical EEG slowing phenomena reported clinically: the decreased dominant frequency, the decreased rhythmic activity in the α band, and the increased rhythmic activity in the δ + θ band. In addition, astrocytes may control AD when the effect of ATP on synaptic connections is greater than that of glutamate. The control rate depends on the ratio of the effect of glutamate on excitatory and inhibitory synaptic connections. These modeling results can not only reproduce some experimental and clinical results, but, more importantly, may offer a prediction of some underlying phenomena, helping to inspire the disease mechanisms and therapeutic methods of targeting astrocytes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10541500
Volume :
33
Issue :
11
Database :
Complementary Index
Journal :
Chaos
Publication Type :
Academic Journal
Accession number :
173977268
Full Text :
https://doi.org/10.1063/5.0154322