Neuronal Microenvironment Dynamics Modeling Methods for Epilepsy
10.16476/j.pibb.2024.0052
- VernacularTitle:面向癫痫的神经元微环境动力学建模方法
- Author:
Duo LI
1
;
Si-Hui LI
1
;
Qiang LI
1
;
Rui ZHANG
1
Author Information
1. The Medical Big Data Research Center, The School of Mathematics, Northwest University, Xi’an 710127, China
- Publication Type:Journal Article
- Keywords:
neuron;
microenvironment dynamics;
epileptic discharge patterns;
neural computational model;
dynamics modeling
- From:
Progress in Biochemistry and Biophysics
2024;51(8):1860-1872
- CountryChina
- Language:Chinese
-
Abstract:
Epilepsy is a common chronic neurological disorder caused by hypersynchronous abnormal discharges of neurons in the brain. Extensive physiological experiments and neural computational modeling studies have found that abnormal neuronal discharges are the electrophysiological basis of epileptic seizures. In addition, alterations in neuronal microenvironment dynamics are potential causes of neuronal structural and functional changes that stimulate abnormal neuronal discharges, which in turn lead to the generation and development of epileptic seizures. Based on this point, this review paper first systematically elaborates and analyzes the four main factors influencing the alteration of neuronal microenvironment, including ion concentration, energy metabolism, neurotransmitters and cell volume, in terms of the neural mechanisms and modeling methods of their dynamics modeling. The main methods and processes of microenvironmental dynamics modeling for epilepsy are employing mathematical and biophysical expressions to model the dynamics of neuronal microenvironment alterations associated with epileptic seizures found in physiological experiments, and then analyzing and exploring the dynamic nature of neuronal epileptic discharges generation and transition through numerical simulations and bifurcation analysis. Among the epileptic discharge patterns mainly include epileptic seizure/bursting (SZ), spreading depolarizations (SD), hypoxic spreading depolarization (HSD), tonic firing (TF), and depolarization block (DB), etc. Existing works have revealed and verified that disruption of neuronal microenvironment homeostasis caused by loss of ionic homeostasis (e.g., excessive accumulation of intracellular Na+ and Cl- as well as extracellular K+), imbalance of excitatory and inhibitory neurotransmitters(e.g., excessively high concentration of Glu and low concentration of GABA in the extracellular space or synaptic clefts), depletion of energy metabolism substances (e.g., insufficient supply of O2 and ATP or excessive energy consumption due to abnormal neuronal discharges), cytotoxic swelling, etc., which can induce the generation and development of seizures. In combination with related works on the neuronal microenvironment dynamics modeling methods, we finally discuss and summarize the future research directions. It is expected to give a comprehensive perspective on the development trends and research progress in this field, and provide the favorable theoretical foundation for further research on the dynamic nature of epileptic discharge patterns and the neural mechanisms of epilepsy.
