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动作电位的波动性质。

The wave nature of the action potential.

作者信息

Galinsky Vitaly L, Frank Lawrence R

机构信息

Center for Scientific Computation in Imaging, University of California at San Diego, La Jolla, CA, United States.

Center for Functional MRI, University of California at San Diego, La Jolla, CA, United States.

出版信息

Front Cell Neurosci. 2025 Apr 25;19:1467466. doi: 10.3389/fncel.2025.1467466. eCollection 2025.

DOI:10.3389/fncel.2025.1467466
PMID:40352468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12062021/
Abstract

An alternative to the standard Hodgkin-Huxley model for the action potential in axons is presented. It is based on our recently developed theory of electric field wave propagation in anisotropic and inhomogeneous brain tissues, which has been shown to explain a broad range of observed coherent synchronous brain electrical processes. We demonstrate that this theory also explains the spiking behavior of single neurons, thereby bridging the gap between the fundamental element of brain electrical activity-the neuron-and large-scale coherent synchronous electrical activity. We demonstrate that our recently developed theory of electric field wave propagation in anisotropic and inhomogeneous brain tissues, which has been shown to explain a broad range of observed coherent synchronous brain electrical processes, also applies to the spiking behavior of single neurons, thus bridging the gap between the fundamental element of brain electrical activity (the neuron) and large-scale coherent synchronous electrical activity. Our analysis indicates that a non-linear system with several small parameters can mathematically describe the membrane interface of the axonal cellular system. This enables the rigorous derivation of an accurate yet simpler non-linear model through the formal small-parameter expansion. The resulting action potential model exhibits a smooth, continuous transition from the linear wave oscillatory regime to the non-linear spiking regime, as well as a critical transition to a non-oscillatory regime. These transitions occur with changes in the criticality parameter and include several different bifurcation types, representative of the various experimentally detected neuron types. This new theory addresses the limitations of the Hodgkin-Huxley model, including its inability to explain extracellular spiking, efficient brain synchronization, saltatory conduction along myelinated axons, and various other observed coherent macroscopic brain electrical phenomena. We also demonstrate that our approach recovers the standard cable axon theory, utilizing the relatively simple assumptions of piece-wise homogeneity and isotropy. However, the diffusion process described by the cable equation is not capable of supporting action potential propagation across a wide range of experimentally reported axon parameters.

摘要

本文提出了一种替代轴突动作电位标准霍奇金-赫胥黎模型的模型。它基于我们最近开发的关于各向异性和非均匀脑组织中电场波传播的理论,该理论已被证明能够解释广泛观察到的相干同步脑电过程。我们证明,该理论还能解释单个神经元的放电行为,从而弥合了脑电活动的基本元素——神经元——与大规模相干同步电活动之间的差距。我们证明,我们最近开发的关于各向异性和非均匀脑组织中电场波传播的理论,已被证明能够解释广泛观察到的相干同步脑电过程,该理论也适用于单个神经元的放电行为,从而弥合了脑电活动的基本元素(神经元)与大规模相干同步电活动之间的差距。我们的分析表明,一个具有几个小参数的非线性系统可以在数学上描述轴突细胞系统的膜界面。这使得通过形式上的小参数展开能够严格推导出一个准确但更简单的非线性模型。由此产生的动作电位模型表现出从线性波振荡状态到非线性放电状态的平滑、连续过渡,以及到非振荡状态的临界过渡。这些过渡随着临界参数的变化而发生,包括几种不同的分岔类型,代表了各种实验检测到的神经元类型。这一新理论解决了霍奇金-赫胥黎模型的局限性,包括其无法解释细胞外放电、有效的脑同步、沿有髓轴突的跳跃传导以及其他各种观察到的相干宏观脑电现象。我们还证明,我们的方法利用相对简单的分段均匀性和各向同性假设恢复了标准的电缆轴突理论。然而,电缆方程描述的扩散过程无法支持在广泛的实验报告轴突参数范围内的动作电位传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a9a/12062021/317d2242b736/fncel-19-1467466-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a9a/12062021/68f33a3dab48/fncel-19-1467466-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a9a/12062021/317d2242b736/fncel-19-1467466-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a9a/12062021/68f33a3dab48/fncel-19-1467466-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a9a/12062021/317d2242b736/fncel-19-1467466-g0002.jpg

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本文引用的文献

1
Characterization of extracellular spike waveforms recorded in wallaby primary visual cortex.在沙袋鼠初级视觉皮层记录的细胞外尖峰波形的特征描述。
Front Neurosci. 2023 Sep 8;17:1244952. doi: 10.3389/fnins.2023.1244952. eCollection 2023.
2
Central nervous system demyelinating diseases: glial cells at the hub of pathology.中枢神经系统脱髓鞘疾病:胶质细胞在病理学中的核心地位。
Front Immunol. 2023 May 16;14:1135540. doi: 10.3389/fimmu.2023.1135540. eCollection 2023.
3
Increase in conduction velocity in myelinated nerves due to stretch - An experimental verification.
拉伸导致有髓神经传导速度增加——一项实验验证
Front Neurosci. 2023 Apr 17;17:1084004. doi: 10.3389/fnins.2023.1084004. eCollection 2023.
4
Critical brain wave dynamics of neuronal avalanches.神经元雪崩的关键脑波动力学
Front Phys. 2023;11. doi: 10.3389/fphy.2023.1138643. Epub 2023 Feb 22.
5
Neuronal avalanches: Sandpiles of self-organized criticality or critical dynamics of brain waves?神经元雪崩:自组织临界性的沙堆模型还是脑电波的临界动力学?
Front Phys (Beijing). 2023 Aug;18(4). doi: 10.1007/s11467-023-1273-7. Epub 2023 Mar 22.
6
Myelin in Alzheimer's disease: culprit or bystander?阿尔茨海默病中的髓鞘:罪魁祸首还是旁观者?
Acta Neuropathol Commun. 2023 Mar 31;11(1):56. doi: 10.1186/s40478-023-01554-5.
7
Critically synchronized brain waves form an effective, robust and flexible basis for human memory and learning.关键同步脑波为人类记忆和学习提供了有效、强大且灵活的基础。
Sci Rep. 2023 Mar 16;13(1):4343. doi: 10.1038/s41598-023-31365-6.
8
Introducing the Dendrify framework for incorporating dendrites to spiking neural networks.引入 Dendrify 框架,将树突整合到尖峰神经网络中。
Nat Commun. 2023 Jan 10;14(1):131. doi: 10.1038/s41467-022-35747-8.
9
Spiking Neural Networks and Their Applications: A Review.脉冲神经网络及其应用:综述
Brain Sci. 2022 Jun 30;12(7):863. doi: 10.3390/brainsci12070863.
10
Spontaneous traveling waves naturally emerge from horizontal fiber time delays and travel through locally asynchronous-irregular states.自发传播波自然地从水平纤维时滞中涌现,并在局部非同步不规则状态中传播。
Nat Commun. 2021 Oct 18;12(1):6057. doi: 10.1038/s41467-021-26175-1.