细胞外电刺激后的齿状回颗粒细胞激活:指导海马神经刺激策略的多尺度计算模型。

IF 2.3 4区 医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in Computational Neuroscience Pub Date : 2025-08-01 eCollection Date: 2025-01-01 DOI:10.3389/fncom.2025.1638002
Shayan Farzad, Tianyuan Wei, Jean-Marie C Bouteiller, Gianluca Lazzi
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引用次数: 0

摘要

神经接口装置的有效性取决于目标区域的解剖和生理特性。用于神经记录和刺激的多电极阵列受到电极放置和刺激参数的影响,这对组织反应有重要影响。本研究提出了一个多尺度计算模型,预测海马神经元对细胞外电刺激的反应,为电极定位和刺激策略对神经元反应的影响提供了见解。海马是主要参与记忆形成的关键大脑结构,特别是短期记忆转化为长期存储。方法:利用神经元模拟平台,结合导纳法模拟电场在组织内的传播,对大鼠海马进行了非常详细的轴突投影建模。该模型模拟了内嗅皮质(EC)轴突投射到齿状回(DG)的穿孔路径上的虚拟电极产生的电场,并通过突触输入预测了DG颗粒细胞的激活。结果:我们确定了沿穿孔路径在不同电极位置激活颗粒细胞所需的刺激幅度阈值。通过实验记录验证了突触激活过程中膜电位的变化。此外,我们评估了双极电极放置和刺激幅度对直接和间接激活的影响。结论:750 μA以上的刺激对DG颗粒细胞具有一致性的激活作用。当电极放置在分子层、锥体下区和DG波峰时,轴突激活和下游突触传递需要较低的刺激幅度。意义:该研究和潜在的方法为指导刺激EC轴突后激活DG颗粒细胞所需的刺激方案提供了有用的见解;完整逼真的3D模型构成了一个宝贵的工具,以加强我们对海马体对电刺激的反应的理解,并指导未来刺激设备和策略的开发和放置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies.

Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies.

Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies.

Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies.

Introduction: The effectiveness of neural interfacing devices depends on the anatomical and physiological properties of the target region. Multielectrode arrays, used for neural recording and stimulation, are influenced by electrode placement and stimulation parameters, which critically impact tissue response. This study presents a multiscale computational model that predicts responses of neurons in the hippocampus-a key brain structure primarily involved in memory formation, especially the conversion of short-term memories into long-term storage-to extracellular electrical stimulation, providing insights into the effects of electrode positioning and stimulation strategies on neuronal response.

Methods: We modeled the rat hippocampus with highly detailed axonal projections, integrating the Admittance Method to model propagation of the electric field in the tissue with the NEURON simulation platform. The resulting model simulates electric fields generated by virtual electrodes in the perforant path of entorhinal cortical (EC) axons projecting to the dentate gyrus (DG) and predicts DG granule cell activation via synaptic inputs.

Results: We determined stimulation amplitude thresholds required for granule cell activation at different electrode placements along the perforant path. Membrane potential changes during synaptic activation were validated against experimental recordings. Additionally, we assessed the effects of bipolar electrode placements and stimulation amplitudes on direct and indirect activation.

Conclusion: Stimulation amplitudes above 750 μA consistently activate DG granule cells. Lower stimulation amplitudes are required for axonal activation and downstream synaptic transmission when electrodes are placed in the molecular layer, infra-pyramidal region, and DG crest.

Significance: The study and underlying methodology provide useful insights to guide the stimulation protocol required to activate DG granule cells following the stimulation of EC axons; the complete realistic 3D model presented constitutes an invaluable tool to strengthen our understanding of hippocampal response to electrical stimulation and guide the development and placement of prospective stimulation devices and strategies.

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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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