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Modelling the Effects of Early Exposure to Alcohol on the Excitability of Cortical Neurons

机译:建模早期喝酒对皮层神经元兴奋性的影响。

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In recent years, a novel approach based on multi-objective optimization has been developed to automatically tune biophysically realistic, multi-compartmental neuron models starting from electrophysiological recordings. Here, we apply this methodology to the optimization of model neurons capable of reproducing the reduced excitability observed in experiments carried out in cortical pyramidal cells in a rodent model of fetal alcohol spectrum disorder. We find that both control and ethanol-exposed model cells present an excellent match with the experiments in terms of membrane voltage dynamics, with the latter group displaying a small but significant rightward shift of their current-frequency relationship. We identify a possible interplay between model parameters and cellular morphology and suggest future improvements to better capture the features of dendritic voltage dynamics.
机译:近年来,已经开发了一种基于多目标优化的新颖方法,可以从电生理记录开始自动调整生物物理现实的多隔室神经元模型。在这里,我们将这种方法应用于能够重现减少的兴奋性的模型神经元模型,该模型是在胎儿酒精谱系疾病的啮齿动物模型的皮质锥体细胞中进行的实验中观察到的。我们发现对照和暴露于乙醇的模型细胞在膜电压动力学方面均与实验极佳匹配,后一组显示出其电流-频率关系的微小但显着的右移。我们确定模型参数和细胞形态之间可能的相互作用,并建议未来的改进,以更好地捕捉树突状电压动力学的特征。

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