Engineering Hub, School of Engineering, University of Lincoln Lincoln, UK.
Front Comput Neurosci. 2013 Jul 4;7:81. doi: 10.3389/fncom.2013.00081. eCollection 2013.
A novel direction to existing neural mass modeling technique is proposed where the commonly used "alpha function" for representing synaptic transmission is replaced by a kinetic framework of neurotransmitter and receptor dynamics. The aim is to underpin neuro-transmission dynamics associated with abnormal brain rhythms commonly observed in neurological and psychiatric disorders. An existing thalamocortical neural mass model is modified by using the kinetic framework for modeling synaptic transmission mediated by glutamatergic and GABA (gamma-aminobutyric-acid)-ergic receptors. The model output is compared qualitatively with existing literature on in vitro experimental studies of ferret thalamic slices, as well as on single-neuron-level model based studies of neuro-receptor and transmitter dynamics in the thalamocortical tissue. The results are consistent with these studies: the activation of ligand-gated GABA receptors is essential for generation of spindle waves in the model, while blocking this pathway leads to low-frequency synchronized oscillations such as observed in slow-wave sleep; the frequency of spindle oscillations increase with increased levels of post-synaptic membrane conductance for AMPA (alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic-acid) receptors, and blocking this pathway effects a quiescent model output. In terms of computational efficiency, the simulation time is improved by a factor of 10 compared to a similar neural mass model based on alpha functions. This implies a dramatic improvement in computational resources for large-scale network simulation using this model. Thus, the model provides a platform for correlating high-level brain oscillatory activity with low-level synaptic attributes, and makes a significant contribution toward advancements in current neural mass modeling paradigm as a potential computational tool to better the understanding of brain oscillations in sickness and in health.
提出了一种新颖的神经群体建模技术方向,用神经递质和受体动力学的动态框架来替代常用的突触传递“α函数”。其目的是为了支持与神经精神障碍中常见的异常脑节律相关的神经传递动力学。通过使用动力学框架来模拟谷氨酸能和 GABA(γ-氨基丁酸)能受体介导的突触传递,对现有的丘脑皮质神经群体模型进行了修改。模型输出与有关雪貂丘脑切片体外实验研究的现有文献以及基于单个神经元水平的丘脑皮质神经受体和递质动力学模型研究进行了定性比较。结果与这些研究一致:配体门控 GABA 受体的激活对于模型中纺锤波的产生至关重要,而阻断此途径会导致低频同步振荡,如在慢波睡眠中观察到的那样;随着 AMPA(α-氨基-3-羟基-5-甲基-4-异恶唑丙酸)受体的突触后膜电导增加,纺锤波的频率增加,阻断该途径会导致模型输出静止。在计算效率方面,与基于α函数的类似神经群体模型相比,模拟时间提高了 10 倍。这意味着使用此模型进行大规模网络模拟的计算资源有了显著改善。因此,该模型为将大脑高级活动与低级突触属性相关联提供了一个平台,并为当前神经群体建模范例的发展做出了重要贡献,有望成为一种理解疾病和健康状态下大脑振荡的计算工具。