Local Field Potential Functional Network Analysis of the Left and Right Hippocampus of Pigeons in Goal-Directed Task

Siyang Shen, Kun Zhao, Mengmeng Li, Hong Wan
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引用次数: 3

Abstract

Pigeons have excellent spatial cognition and navigation ability. The hippocampus $(\text{Hp})$ is the key brain area for navigation behavior. However, the difference of the neural cluster electrical activity in the goal-directed task in the left and right hippocampus of the pigeon brain is still unclear. In this paper, the function network of the left hemisphere and the right hemisphere local field potential (LFP)signals is constructed using Pearson correlation method, the LFP functional networks and their topological characteristics of different Hp are analyzed in different task areas. The results show that the connection density of LFP functional networks in different areas is different, the clustering coefficient (CC)and global efficiency (E)of the pigeons in the straight area(SA)are higher than the waiting area(WA)and the turning area(TA)$(\mathrm{P} < 0.05)$, at the same time, the topological characteristics of the LFP functional network in the left Hp were significantly higher than that in the right Hp $(\mathrm{P} < 0.05)$. Further research also found it is not affected by the goal location $(\mathrm{P} < 0.01)$. This study further analyzes the role of the hippocampus functional network in pigeon navigation behavior, and makes a useful attempt to analyze the brain neural mechanisms of bird spatial cognition and navigation.
目标导向任务中鸽子左右海马局部场电位功能网络分析
鸽子具有出色的空间认知和导航能力。海马体是控制导航行为的关键脑区。然而,鸽脑左右海马体在目标导向任务中的神经簇电活动差异尚不清楚。本文利用Pearson相关方法构建了左半球和右半球局部场电位(LFP)信号的功能网络,分析了不同任务区域中不同Hp的LFP功能网络及其拓扑特征。结果表明:不同区域的LFP功能网络连接密度不同,直线区(SA)鸽子的聚类系数(CC)和全局效率(E)均高于等待区(WA)和转弯区(TA)$(\ mathm {P} < 0.05)$,同时,左侧Hp的LFP功能网络拓扑特征显著高于右侧Hp $(\ mathm {P} < 0.05)$。进一步的研究还发现,它不受目标位置$(\ mathm {P} < 0.01)$的影响。本研究进一步分析了海马功能网络在鸽子导航行为中的作用,为分析鸟类空间认知和导航的脑神经机制做出了有益的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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