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首页> 外文期刊>Journal of Computational Neuroscience >Calcium dependent plasticity applied to repetitive transcranial magnetic stimulation with a neural field model
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Calcium dependent plasticity applied to repetitive transcranial magnetic stimulation with a neural field model

机译：钙依赖性可塑性通过神经场模型应用于重复经颅磁刺激

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摘要

The calcium dependent plasticity (CaDP) approach to the modeling of synaptic weight change is applied using a neural field approach to realistic repetitive transcranial magnetic stimulation (rTMS) protocols. A spatially-symmetric nonlinear neural field model consisting of populations of excitatory and inhibitory neurons is used. The plasticity between excitatory cell populations is then evaluated using a CaDP approach that incorporates metaplasticity. The direction and size of the plasticity (potentiation or depression) depends on both the amplitude of stimulation and duration of the protocol. The breaks in the inhibitory theta-burst stimulation protocol are crucial to ensuring that the stimulation bursts are potentiating in nature. Tuning the parameters of a spike-timing dependent plasticity (STDP) window with a Monte Carlo approach to maximize agreement between STDP predictions and the CaDP results reproduces a realistically-shaped window with two regions of depression in agreement with the existing literature. Developing understanding of how TMS interacts with cells at a network level may be important for future investigation.
机译：钙依赖性可塑性（CaDP）方法用于突触重量变化建模，是使用神经场方法应用于现实的重复经颅磁刺激（rTMS）方案的。使用由兴奋性神经元和抑制​​性神经元组成的空间对称非线性神经场模型。然后使用整合了可塑性的CaDP方法评估兴奋性细胞群体之间的可塑性。可塑性（增强或抑制）的方向和大小取决于刺激的幅度和方案的持续时间。抑制性theta-burst刺激方案的中断对于确保刺激性猝发在本质上是至关重要的。使用蒙特卡洛方法调整峰值定时相关可塑性（STDP）窗口的参数，以最大程度地提高STDP预测和CaDP结果之间的一致性，从而再现一个逼真的形状的窗口，其中有两个凹陷区域，与现有文献一致。深入了解TMS如何在网络级别与小区交互可能对将来的调查很重要。

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