Potter Christian T, Bassi Constanza D, Runyan Caroline A
Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, USA.
iScience. 2024 Aug 21;27(9):110736. doi: 10.1016/j.isci.2024.110736. eCollection 2024 Sep 20.
Cortical interneurons shape network activity in cell type-specific ways, and interact with other cell types. These interactions are understudied, as current methods typically restrict labeling to one neuron type. Although post-hoc identification of many cell types has been accomplished, the method is not available to many labs. We present a method to distinguish two red fluorophores , allowing imaging of activity in somatostatin (SOM), parvalbumin (PV), and the rest of the neural population in mouse cortex. We compared population events in PV and SOM neurons and observed that local network states reflected the ratio of SOM to PV neuron activity, demonstrating the importance of simultaneous labeling to explain dynamics. Activity became sparser and less correlated when the ratio between SOM and PV activity was high. Our simple method can be flexibly applied to study interactions among any combination of distinct cell type populations across brain areas.
皮层中间神经元以细胞类型特异性方式塑造网络活动，并与其他细胞类型相互作用。由于目前的方法通常将标记限制在一种神经元类型，这些相互作用尚未得到充分研究。尽管已经完成了许多细胞类型的事后鉴定，但该方法并非许多实验室都能使用。我们提出了一种区分两种红色荧光团的方法，从而能够对小鼠皮层中生长抑素（SOM）、小白蛋白（PV）以及其余神经群体的活动进行成像。我们比较了PV和SOM神经元中的群体事件，观察到局部网络状态反映了SOM与PV神经元活动的比例，这证明了同时标记对于解释动态变化的重要性。当SOM与PV活动之间的比例较高时，活动变得更加稀疏且相关性更低。我们的简单方法可以灵活地应用于研究跨脑区不同细胞类型群体的任何组合之间的相互作用。
