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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Anatomical Identification of Extracellularly Recorded Cells in Large-Scale Multielectrode Recordings
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Anatomical Identification of Extracellularly Recorded Cells in Large-Scale Multielectrode Recordings

机译：大规模多电极记录中胞外记录细胞的解剖学鉴定。

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摘要

This study combines for the first time two major approaches to understanding the function and structure of neural circuits: large-scale multielectrode recordings, and confocal imaging of labeled neurons. To achieve this end, we develop a novel approach to the central problem of anatomically identifying recorded cells, based on the electrical image: the spatiotemporal pattern of voltage deflections induced by spikes on a large-scale, high-density multielectrode array. Recordings were performed from identified ganglion cell types in the macaque retina. Anatomical images of cells in the same preparation were obtained using virally transfected fluorescent labeling or by immunolabeling after fixation. The electrical image was then used to locate recorded cell somas, axon initial segments, and axon trajectories, and these signatures were used to identify recorded cells. Comparison of anatomical and physiological measurements permitted visualization and physiological characterization of numerically dominant ganglion cell types with high efficiency in a single preparation.
机译：这项研究首次结合了两种主要的方法来理解神经回路的功能和结构：大规模多电极记录和标记神经元的共聚焦成像。为实现此目的，我们基于电图像，开发了一种在解剖学上识别已记录细胞的中心问题的新颖方法：大规模，高密度多电极阵列上的尖峰引起的电压偏转的时空模式。从猕猴视网膜中确定的神经节细胞类型进行记录。使用病毒转染的荧光标记或固定后通过免疫标记获得同一制剂中细胞的解剖图像。然后，使用电子图像定位记录的细胞体，轴突初始节段和轴突轨迹，并将这些签名用于识别记录的细胞。解剖学和生理学测量的比较允许在单个制备中高效地可视化和表征数字上占优势的神经节细胞类型。

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