Ryunosuke Takagi, Matsuda Taiga, Inagaki Keiichiro
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:386-389. doi: 10.1109/EMBC44109.2020.9175727.
The vestibule-ocular reflex (VOR) has been one of the most popular model systems to investigate the role of the cerebellum in adaptive motor control. The cerebellum receives sensory and motor information via mossy and climbing fibers, and solely outputs motor-related activities from Purkinje cell. The cerebellar flocculus also contains rich inhibitory interneurons known as Golgi, basket, and stellate cells. While most of the previous studies on VOR motor learning have focused on responses of Purkinje cells, little attention has been paid to the roles of cerebellar inhibitory interneurons due to difficulty in identifying and recording them in behaving animals. Thus, the contribution of those interneurons on cerebellar motor learning is still a mystery. Herein, we have constructed a computational model of the VOR that explicitly implements the anatomically realistic floccular neuronal network structure so that the activities of each inhibitory interneuron can be evaluated. From the knocked out simulation of Golgi or basket/stellate cells, we confirmed that those inhibitory interneurons play a different contribution to the acquisition of new VOR performance.
前庭眼反射(VOR)一直是研究小脑在适应性运动控制中作用的最常用模型系统之一。小脑通过苔藓纤维和攀缘纤维接收感觉和运动信息,并仅从浦肯野细胞输出与运动相关的活动。小脑绒球还包含丰富的抑制性中间神经元,即高尔基细胞、篮状细胞和星状细胞。虽然之前关于VOR运动学习的大多数研究都集中在浦肯野细胞的反应上,但由于在行为动物中识别和记录小脑抑制性中间神经元存在困难,它们的作用很少受到关注。因此,这些中间神经元对小脑运动学习的贡献仍然是个谜。在此,我们构建了一个VOR计算模型,该模型明确实现了解剖学上逼真的绒球神经元网络结构,以便能够评估每个抑制性中间神经元的活动。通过对高尔基细胞或篮状/星状细胞的敲除模拟,我们证实这些抑制性中间神经元对新VOR性能的获得起着不同的作用。