摘要
大脑在完成思维等功能活动时,脑中的神经细胞会产生表征不同生理状态的电活动,大脑不同功能区也会呈现不同的放电特征,例如,参与学习记忆等认知活动的海马脑区以产生尖波涟漪事件为典型特征。本研究利用多通道电生理技术记录到神经元胞外电信号,通过海马区节律性场电位进行了3种常见生理状态(清醒、快速眼动睡眠和非快速眼动睡眠阶段)的划分,并介绍了利用海马区尖波涟漪事件研究海马区和皮层区的放电特征的方法。最后,利用5折交叉验证的广义线性模型预测神经信号的方法,以特定时间窗内神经元群体放电个数矩阵为自变量,该时间窗或其他时间窗内的单个神经元放电个数向量或尖波涟漪事件是否出现为因变量,进行预测,与解耦不同生理意义下的神经活动结果进行对比。本研究将有助于分析及解码不同生理状态下大脑功能区的神经信号特征,尤其是对研究学习记忆功能及其相关脑区之间的相互作用提供方法学依据。
During advanced functional activities in the brain,neurons show distinct firing features in different brain regions,featuring different physiological states.For instance,neurons in the hippocampus,which are involved in cognitive activities such as learning and memory,show typical sharp-wave ripple(SWR)associated activities.Using multichannel electrophysiological recording technique,the extracellular electrical signals were recorded and analyzed in this study.Three physiological states(including awake,rapid eye movement sleep and non-rapid eye movement sleep stages)were classified by rhythmic local field potentials(LFPs)in the hippocampus.Meanwhile,a method based on the hippocampal SWRs was introduced to study the firing features of neuron in the hippocampus and cortex.Finally,a method for predicting neural signals by using a 5-fold cross-validated generalized linear model was presented,in which the matrices of the neuronal population firing within a specific time window were considered as the independent variables;the vectors of neuronal spike number or the SWR occurrence within that or other time windows were the dependent variables.These methods could predict the numbers of neuronal firing or the occurrence of SWR events.This study will be helpful to analyze and decode the neural signal patterns of brain regions under diverse physiological states,especially to provide a methodological basis for studying learning and memory processes and the related interactions between brain regions.
作者
刘子悦
肖晓
LIU Ziyue;XIAO Xiao(Behavior and Cognitive Neuroscience Center,Institute of Science and Technology for Brain-inspired Intelligence,Fudan University,Shanghai 200433,China)
出处
《复旦学报（自然科学版）》
CAS
CSCD
北大核心
2024年第1期59-67,共9页
Journal of Fudan University：Natural Science
基金
科技创新2030“脑科学与类脑研究”重大项目(2021ZD0202805),国家重点研发计划(2019YFA0709504),国家自然科学基金(31900719)。
关键词
神经信号
广义线性模型
尖波涟漪
海马
neural signal
generalized linear model
sharp-wave ripple
hippocampus
