Suppr超能文献

meaRtools:用于分析微电极阵列上记录的神经元网络的 R 包。

meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays.

机构信息

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.

Department of Genetics and Development, Columbia University Medical Center, New York, NY, United States of America.

出版信息

PLoS Comput Biol. 2018 Oct 1;14(10):e1006506. doi: 10.1371/journal.pcbi.1006506. eCollection 2018 Oct.

Abstract

Here we present an open-source R package 'meaRtools' that provides a platform for analyzing neuronal networks recorded on Microelectrode Arrays (MEAs). Cultured neuronal networks monitored with MEAs are now being widely used to characterize in vitro models of neurological disorders and to evaluate pharmaceutical compounds. meaRtools provides core algorithms for MEA spike train analysis, feature extraction, statistical analysis and plotting of multiple MEA recordings with multiple genotypes and treatments. meaRtools functionality covers novel solutions for spike train analysis, including algorithms to assess electrode cross-correlation using the spike train tiling coefficient (STTC), mutual information, synchronized bursts and entropy within cultured wells. Also integrated is a solution to account for bursts variability originating from mixed-cell neuronal cultures. The package provides a statistical platform built specifically for MEA data that can combine multiple MEA recordings and compare extracted features between different genetic models or treatments. We demonstrate the utilization of meaRtools to successfully identify epilepsy-like phenotypes in neuronal networks from Celf4 knockout mice. The package is freely available under the GPL license (GPL> = 3) and is updated frequently on the CRAN web-server repository. The package, along with full documentation can be downloaded from: https://cran.r-project.org/web/packages/meaRtools/.

摘要

这里我们介绍了一个开源的 R 包“meaRtools”,它为分析微电极阵列(MEA)上记录的神经元网络提供了一个平台。使用 MEA 监测的培养神经元网络现在被广泛用于表征神经疾病的体外模型,并评估药物化合物。meaRtools 提供了用于 MEA 尖峰列车分析、特征提取、统计分析和多个基因型和处理的多个 MEA 记录的绘图的核心算法。meaRtools 的功能涵盖了尖峰列车分析的新解决方案,包括使用尖峰列车平铺系数(STTC)、互信息、同步爆发和培养孔内的熵来评估电极交叉相关的算法。还集成了一种解决方案来解释源自混合细胞神经元培养物的爆发变异性。该软件包提供了一个专门为 MEA 数据构建的统计平台,该平台可以组合多个 MEA 记录,并比较不同遗传模型或处理之间提取的特征。我们演示了如何成功地利用 meaRtools 从 Celf4 敲除小鼠的神经元网络中识别出类似癫痫的表型。该软件包在 GPL 许可证(GPL>=3)下免费提供,并经常在 CRAN 网络服务器存储库中更新。该软件包及其完整文档可从以下网址下载:https://cran.r-project.org/web/packages/meaRtools/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/568f/6181426/bee153cc7c89/pcbi.1006506.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验