Effects of AC induced electric fields on neuronal firing sensitivity and activity patterns.

IF 2.3 4区 医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in Computational Neuroscience Pub Date : 2025-09-18 eCollection Date: 2025-01-01 DOI:10.3389/fncom.2025.1612314
Chunhua Yuan, Rupei Chen, Xiangyu Li, Yueyang Zhao
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引用次数: 0

Abstract

Introduction: Understanding how neurons respond to time-varying electric fields is essential for both basic neuroscience and the development of neuromodulation strategies. However, the mechanisms by which alternating-current induced electric fields (AC-IEF) influence neuronal sensitivity and firing remain unclear.

Methods: We developed a modified two-compartment Pinsky-Rinzel (PR) neuron model incorporating AC-IEF stimulation. Using systematic simulations, we examined firing responses across a wide range of field frequencies, amplitudes, and intrinsic membrane parameters, including inter-compartmental conductance and potassium reversal potential.

Results: Neurons exhibited no firing or sensitivity when the field amplitude was less than twice the baseline membrane potential, regardless of conductance or reversal potential. Sensitivity increased markedly with amplitude: for example, when the amplitude exceeded 0.5 mV/cm, maximum firing rates rose by up to 45% and the sensitivity frequency range extended to 10-50 Hz. Phase-locking phenomena (1:1 and 2:1) were observed, with bandwidths widening as amplitude increased. For amplitudes below 30 mV, firing pattern transitions depended strongly on inter-compartmental conductance, whereas amplitudes ≥30 mV produced a consistent progression ending in subthreshold oscillations. Similar parameter-dependent transitions occurred for different potassium reversal potentials, converging at high amplitudes.

Discussion: These results reveal a parameter-dependent mechanism by which AC-IEF modulate neuronal excitability. The findings provide qualitative rather than strictly quantitative insights into how external electromagnetic environments can shape neural activity, offering new directions for targeted neuromodulation in both health and disease.

交流感应电场对神经元放电敏感性和活动模式的影响。
了解神经元对时变电场的反应是基础神经科学和神经调节策略发展的必要条件。然而,交流感应电场(AC-IEF)影响神经元敏感性和放电的机制尚不清楚。方法:采用AC-IEF刺激建立改进的双室Pinsky-Rinzel (PR)神经元模型。通过系统模拟,研究人员在广泛的场频率、振幅和固有膜参数(包括室间电导和钾逆转电位)范围内检测了放电响应。结果:当电场振幅小于基线膜电位的两倍时,无论电导或反转电位如何,神经元均不表现出放电或敏感性。灵敏度随振幅的增加而显著增加:例如,当振幅超过0.5 mV/cm时,最大发射速率提高了45%,灵敏度频率范围扩大到10-50 Hz。锁相现象(1:1和2:1),带宽随着振幅的增加而变宽。对于低于30mv的振幅,放电模式转变强烈依赖于室间电导,而≥30mv的振幅产生一致的进展,以阈下振荡结束。类似的参数依赖性转变发生在不同的钾反转电位上,并在高振幅处收敛。讨论:这些结果揭示了AC-IEF调节神经元兴奋性的参数依赖机制。这些发现对外部电磁环境如何影响神经活动提供了定性而非严格定量的见解,为健康和疾病中的靶向神经调节提供了新的方向。
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来源期刊
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES
CiteScore
5.30
自引率
3.10%
发文量
166
审稿时长
6-12 weeks
期刊介绍: Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions. Also: comp neuro
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