Parasuram Harilal, Nair Bipin, Naldi Giovanni, D'Angelo Egidio, Diwakar Shyam
Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University), Kollam, India.
Department of Mathematics, University of Milan, Milan, Italy.
Ann Neurosci. 2018 Apr;25(1):11-24. doi: 10.1159/000481905. Epub 2017 Oct 26.
The cerebellar granular layer input stage of cerebellum receives information from tactile and sensory regions of the body. The somatosensory activity in the cerebellar granular layer corresponds to sensory and tactile input has been observed by recording Local Field Potential (LFP) from the Crus-IIa regions of cerebellum in brain slices and in anesthetized animals.
In this paper, a detailed biophysical model of Wistar rat cerebellum granular layer network model and LFP modelling schemas were used to simulate circuit's evoked response.
Point Source Approximation and Line Source Approximation were used to reconstruct the network LFP. The LFP mechanism in in vitro was validated in network model and generated the in vivo LFP using the same mechanism.
The network simulations distinctly displayed the Trigeminal and Cortical (TC) wave components generated by 2 independent bursts implicating the generation of TC waves by 2 independent granule neuron populations. Induced plasticity was simulated to estimate granule neuron activation related population responses. As a prediction, cerebellar dysfunction (ataxia) was also studied using the model. Dysfunction at individual neurons in the network was affected by the population response.
Our present study utilizes available knowledge on known mechanisms in a single cell and associates network function to population responses.
小脑的小脑颗粒层输入阶段接收来自身体触觉和感觉区域的信息。通过在脑片和麻醉动物中记录小脑 Crus-IIa 区域的局部场电位（LFP），已观察到小脑颗粒层中的体感活动与感觉和触觉输入相对应。
本文使用 Wistar 大鼠小脑颗粒层网络模型的详细生物物理模型和 LFP 建模模式来模拟电路的诱发反应。
使用点源近似和线源近似来重建网络 LFP。在网络模型中验证了体外 LFP 机制，并使用相同机制生成体内 LFP。
网络模拟清楚地显示了由 2 个独立爆发产生的三叉神经和皮质（TC）波成分，这意味着由 2 个独立的颗粒神经元群体产生 TC 波。模拟诱导可塑性以估计颗粒神经元激活相关的群体反应。作为一种预测，还使用该模型研究了小脑功能障碍（共济失调）。网络中单个神经元的功能障碍受群体反应影响。
我们目前的研究利用了关于单个细胞中已知机制的现有知识，并将网络功能与群体反应联系起来。
