Zhao Xin, Huang Li, Guo Rui, Liu Yulong, Zhao Shidi, Guan Sudong, Ge Rongjing, Cui Shan, Wang Shirlene, Wang Jin-Hui
Department of Pathophysiology, Bengbu Medical CollegeBengbu, China.
Laboratory of Brain and Cognitive Science, Institute of Biophysics and University of Chinese Academy of SciencesBeijing, China.
Front Cell Neurosci. 2017 Jul 26;11:221. doi: 10.3389/fncel.2017.00221. eCollection 2017.
Functional plasticity at cortical synapses and neurons is presumably associated with learning and memory. Additionally, coordinated refinement between glutamatergic and GABAergic neurons occurs in associative memory. If these assumptions are present, neuronal plasticity strength and learning efficiency should be correlated. We have examined whether neuronal plasticity strength and learning efficiency are quantitatively correlated in a mouse model of associative learning. Paired whisker and odor stimulations in mice induce odorant-induced whisker motions. The fully establishment of this associative memory appears fast and slow, which are termed as high learning efficiency and low learning efficiency, respectively. In the study of cellular mechanisms underlying this differential learning efficiency, we have compared the strength of neuronal plasticity in the barrel cortices that store associative signals from the mice with high vs. low learning efficiencies. Our results indicate that the levels of learning efficiency are linearly correlated with the upregulated strengths of excitatory synaptic transmission on glutamatergic neurons and their excitability, as well as the downregulated strengths of GABAergic neurons' excitability, their excitatory synaptic inputs and inhibitory synaptic outputs in layers II~III of barrel cortices. The correlations between learning efficiency in associative memory formation and coordinated plasticity at cortical glutamatergic and GABAergic neurons support the notion that the plasticity of associative memory cells is a basis for memory strength.
皮层突触和神经元的功能可塑性大概与学习和记忆相关。此外,在联合记忆中,谷氨酸能神经元和γ-氨基丁酸能神经元之间会发生协同精细化。如果存在这些假设,那么神经元可塑性强度和学习效率应该是相关的。我们研究了在联合学习的小鼠模型中,神经元可塑性强度和学习效率是否存在定量相关性。小鼠的触须和气味配对刺激会诱发气味诱导的触须运动。这种联合记忆的完全建立表现为快和慢,分别被称为高学习效率和低学习效率。在研究这种差异学习效率背后的细胞机制时,我们比较了储存来自高学习效率和低学习效率小鼠联合信号的桶状皮层中神经元可塑性的强度。我们的结果表明学习效率水平与谷氨酸能神经元上兴奋性突触传递上调的强度及其兴奋性呈线性相关,也与桶状皮层II~III层中γ-氨基丁酸能神经元兴奋性下调的强度、它们的兴奋性突触输入和抑制性突触输出呈线性相关。联合记忆形成中的学习效率与皮层谷氨酸能和γ-氨基丁酸能神经元的协同可塑性之间的相关性支持了这样一种观点,即联合记忆细胞的可塑性是记忆强度的基础。