Multiphysics neuron model for cellular volume dynamics.
Multiphysics neuron model for cellular volume dynamics.
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DOI：
10.1109/tbme.2011.2159217
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发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
Kim SJ
中科院分区：
文献类型：
--
作者：
Lee J;Boas DA;Kim SJ
尽管细胞体积动力学与细胞凋亡和内在光信号有关，但目前还没有一个定量模型来描述毫秒时间尺度上的神经元体积动力学。本文提出了一个多物理场神经元模型，其中细胞体积是一个时变变量，结合多种物理原理建立控制方程。使用这个模型，我们分析了神经元的体积响应在激发过程中，阐明了各种实验观察到的光学信号在整个文献。几种生理条件进行了检查，以调查其对体积响应模式的影响。此外，我们分析了在较长时间尺度上重复刺激的体积反应，以研究缓慢细胞肿胀的特征。这种多物理场模型的多尺度分析不仅提供了一种新的定量阐明与细胞体积动力学相关的生理学重要问题，而且还提供了进一步研究的机会，例如从平台体积变化推断离子通量平衡的有趣可能性。
Even though cellular volume dynamics has been linked to cell apoptosis and intrinsic optical signals, there is no quantitative model for describing neuronal volume dynamics on the millisecond time scale. This study introduces a multiphysics neuron model, where the cell volume is a time-varying variable and multiple physical principles are combined to build governing equations. Using this model, we analyzed neuronal volume responses during excitation, which elucidated the variety of optical signals observed experimentally across the literature. Several physiological conditions were examined to investigate their effect on the pattern of volume response. In addition, we analyzed volume responses on a longer time scale with repetitive stimulation to study the characteristics of slow cell swelling. This multiscale analysis of the multiphysics model will provide not only a novel quantitative elucidation of physiologically important issues related with cellular volume dynamics but also a chance for further studies, such as the interesting possibility of inferring the balance of ion flux from plateau volume changes.