Huang Junjie, Liang Susu, Li Longhui, Li Xingyi, Liao Xiang, Hu Qianshuo, Zhang Chunqing, Jia Hongbo, Chen Xiaowei, Wang Meng, Li Ruijie
Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China.
School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China.
Front Cell Neurosci. 2023 Mar 3;17:1142267. doi: 10.3389/fncel.2023.1142267. eCollection 2023.
Quantitative and mechanistic understanding of learning and long-term memory at the level of single neurons in living brains require highly demanding techniques. A specific need is to precisely label one cell whose firing output property is pinpointed amidst a functionally characterized large population of neurons through the learning process and then investigate the distribution and properties of dendritic inputs. Here, we disseminate an integrated method of daily two-photon neuronal population Ca imaging through an auditory associative learning course, followed by targeted single-cell loose-patch recording and electroporation of plasmid for enhanced chronic Ca imaging of dendritic spines in the targeted cell. Our method provides a unique solution to the demand, opening a solid path toward the hard-cores of how learning and long-term memory are physiologically carried out at the level of single neurons and synapses.
要在活体大脑的单个神经元水平上对学习和长期记忆进行定量和机制性理解,需要极其苛刻的技术。一个特定的需求是精确标记一个细胞,该细胞的放电输出特性在经过学习过程的功能特征明确的大量神经元群体中被精准定位,然后研究树突输入的分布和特性。在此,我们传播一种综合方法,即在听觉联想学习过程中每日进行双光子神经元群体钙成像,随后进行靶向单细胞松散膜片钳记录以及质粒电穿孔,以增强对靶向细胞中树突棘的长期钙成像。我们的方法为这一需求提供了独特的解决方案,为在单个神经元和突触水平上生理层面如何进行学习和长期记忆这一核心问题开辟了坚实的道路。