Oku Yoshitaka, Hülsmann Swen
Department of Physiology, Hyogo College of Medicine, Nishinomiya, Hyogo 663-8501, Japan.
Clinic for Anesthesiology, University Hospital Göttingen, Göttingen 37099, Germany; DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany.
Neuroscience. 2017 Apr 7;347:111-122. doi: 10.1016/j.neuroscience.2017.01.041. Epub 2017 Feb 13.
The topology of the respiratory network in the brainstem has been addressed using different computational models, which help to understand the functional properties of the system. We tested a neural mass model by comparing the result of activation and inhibition of inhibitory neurons in silico with recently published results of optogenetic manipulation of glycinergic neurons [Sherman, et al. (2015) Nat Neurosci 18:408]. The comparison revealed that a five-cell type model consisting of three classes of inhibitory neurons [I-DEC, E-AUG, E-DEC (PI)] and two excitatory populations (pre-I/I) and (I-AUG) neurons can be applied to explain experimental observations made by stimulating or inhibiting inhibitory neurons by light sensitive ion channels.
脑干中呼吸网络的拓扑结构已通过不同的计算模型进行了研究，这些模型有助于理解该系统的功能特性。我们通过将计算机模拟中抑制性神经元激活和抑制的结果与最近发表的甘氨酸能神经元光遗传学操纵结果[Sherman等人（2015年），《自然神经科学》18:408]进行比较，测试了一个神经团块模型。比较结果表明，一个由三类抑制性神经元[I-DEC、E-AUG、E-DEC（PI）]和两个兴奋性神经元群体（前I/I）和（I-AUG）神经元组成的五细胞类型模型，可用于解释通过光敏感离子通道刺激或抑制抑制性神经元所得到的实验观察结果。
