不同距离迫近时鸽子脑室纤维膜周围灰质脑区局部场电位节律差异性  

Differences of LFP Rhythms in the SGP Brain Region When Approaching Pigeons at Different Distances

作　　者：尚志刚[1,2] 杜需需 杨莉芳 李蒙蒙 SHANG Zhi-gang;DU Xu-xu;YANG Li-fang;LI Meng-meng(Electrical and Information Engineering College,Zhengzhou University,Zhengzhou 450001,China;Henan Key Laboratory of Brain Science and Brain-computer Interface Technology,Zhengzhou 450001,China)

机构地区：[1]郑州大学电气与信息工程学院,郑州450001 [2]河南省脑科学与脑机接口技术重点实验室,郑州450001

出　　处：《科学技术与工程》2024年第25期10708-10714,共7页Science Technology and Engineering

基　　金：国家自然科学基金(62301496);国家资助博士后研究人员计划(GZC20232447)。

摘　　要：恐惧情绪的研究对于动物情绪控制和发展有着重要意义。当前恐惧情绪对动物(尤其是鸟类)行为和脑活动的影响多偏重于行为学和生理学现象,缺乏涉及特定相关核团内神经电活动模式的动态分析研究。为了了解鸽子在恐惧情绪下的神经信号变化规律,以鸽子为模式动物,以其脑室纤维膜周围灰质(stratum griseum periventriculare,SGP)核团为目标脑区,采用危险逐渐迫近的实验方法研究不同恐惧迫近距离下神经活动的变化模式,深入分析基于局部场电位(local field potential,LFP)信号的频域、时频能量和功能连接节律性差异。首先采集2只鸽子在静息状态和恐惧迫近实验的LFP信号,并提取Delta、Theta、Beta和Gamma这4个特征节律成分;然后采用自回归模型法计算了安静和恐惧两种状态在各节律下的功率谱密度占比差异;接着分析了恐惧状态下的时频能量随着迫近距离的变化的特异性变化;同时构建了基于相干性的脑功能网络,并对鸽子在安静和恐惧两种状态下的局部网络连接特性采用双因素方差分析方法进行了统计分析;最后对网络拓扑特征与迫近距离之间的关系进行了线性拟合分析。结果表明,鸽子恐惧迫近状态下Theta频段的功率谱占比和脑功能网络连接强度显著增加。随着迫近距离的缩短,Theta和Beta频段内的时频能量变化呈逐渐上升趋势,且局部网络连接强度与迫近距离之间呈现显著的负相关。说明Theta频段可能与恐惧情绪的表征有关,Theta和Beta频段的神经电信号特征差异能够表征恐惧迫近距离的变化。研究结果可以为进一步探索鸟类恐惧情绪的神经编码机制研究及其神经调控提供有价值的参考。The study of fearful emotions has important implications for animal emotional control and development.Current effects of fearful emotions on the behavior and brain activity of animals(especially birds)are mostly biased towards behavioral and physiological phenomena,and there is a lack of studies involving dynamic analysis of the patterns of neural electrical activity within specific relevant nuclei.In order to understand the rule of change of neural signals in pigeons under the fear emotion,taking pigeons as a model animal and its stratum griseum periventriculare(SGP)nuclei as the target brain area,adopting the experimental method of gradual approach of danger to study the pattern of change of neural activities under different fear proximity,the rhythmic differences of frequency domain,time-frequency energy,and functional connectivity based on the signal of Local field potential(LFP)were analyzed in-depth.The LFP signals of 2 pigeons in the resting state and the fear looming experiment were firstly collected and the four characteristic rhythmic components,Delta,Theta,Beta and Gamma,were extracted.The autoregressive modeling method was used to calculate the difference in the percentage of power spectral density between the quiet and fearful states at each rhythm.Next,the idiosyncratic change in time-frequency energy in the fear state with change in looming distance was analyzed.A coherence-based functional brain network was also constructed,and the local network connectivity characteristics of pigeons in both quiet and fearful states were statistically analyzed using a two-factor analysis of variance(ANOVA)method.Finally,a linear fitting analysis was performed to analyze the relationship between the network topological characteristics and the looming distance.The results show that the power spectral occupancy of the Theta band and the strength of brain functional network connections are significantly increased in the fear looming state of pigeons.With the shortening of the looming distance,the time-frequency energ

关 键 词：鸽子 恐惧情绪 时频分析 功能网络 节律 

分 类 号：Q958[生物学—动物学]