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在光学成像实验中识别和量化神经元集合。

Identification and quantification of neuronal ensembles in optical imaging experiments.

机构信息

Department of Epileptology, University Hospital Bonn, 53127, Bonn, Germany.

Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA.

出版信息

J Neurosci Methods. 2021 Mar 1;351:109046. doi: 10.1016/j.jneumeth.2020.109046. Epub 2020 Dec 24.

Abstract

Recent technical advances in molecular biology and optical imaging have made it possible to record from up to thousands of densely packed neurons in superficial and deep brain regions in vivo, with cellular subtype specificity and high spatiotemporal fidelity. Such optical neurotechnologies are enabling increasingly fine-scaled studies of neuronal circuits and reliably co-active groups of neurons, so-called ensembles. Neuronal ensembles are thought to constitute the basic functional building blocks of brain systems, potentially exhibiting collective computational properties. While the technical framework of in vivo optical imaging and quantification of neuronal activity follows certain widely held standards, analytical methods for study of neuronal co-activity and ensembles lack consensus and are highly varied across the field. Here we provide a comprehensive step-by-step overview of theoretical, experimental, and analytical considerations for the identification and quantification of neuronal ensemble dynamics in high-resolution in vivo optical imaging studies.

摘要

近年来,分子生物学和光学成像技术的进步使得在体记录浅层和深层脑区多达数千个密集排列的神经元成为可能,具有细胞亚型特异性和高时空保真度。这种光学神经技术使得对神经元回路和可靠的共活跃神经元群(所谓的神经元集合)进行越来越精细的研究成为可能。神经元集合被认为是脑系统的基本功能构建块,可能表现出集体计算特性。虽然活体光学成像和神经元活动定量的技术框架遵循某些广泛认可的标准,但用于研究神经元共活动和集合的分析方法缺乏共识,并且在整个领域差异很大。在这里,我们提供了一个全面的、逐步的概述,用于在高分辨率活体光学成像研究中识别和定量神经元集合动力学的理论、实验和分析考虑因素。

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