Quantifying the isolation quality of extracellularly recorded action potentials
Quantifying the isolation quality of extracellularly recorded action potentials
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DOI：
10.1016/j.jneumeth.2007.03.012
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发表时间：
2007-07-30
影响因子：
3
通讯作者：
Bergman, Hagai
中科院分区：
文献类型：
--
作者：
Joshua, Mati;Elias, Shlomo;Bergman, Hagai
已经有许多方法来检测和分类细胞外记录的动作电位的问题，但只有少数方法实际上量化这个基本过程的质量。在大多数情况下，质量评估是基于人类观察者的主观判断，记录的单元被分为“隔离良好”或“多单元”组。这种主观评价排除了对单单位研究的全面评估，因为最基本的参数，即数据质量，没有明确定义。在这里，我们提出了客观的措施来评估尖峰数据的质量，基于检测到的尖峰的时间戳和高频采样的皮层和基底神经节数据的模拟信号。我们发现，量化的记录质量的信噪比（SNR）可能是误导，记录质量更好地评估隔离分数，衡量噪声（非尖峰）和尖峰集群之间的重叠。此外，我们使用最近邻算法来估计假阳性和假阴性分类错误的比例。为了验证这些质量措施，我们模拟尖峰检测和排序错误，并表明分数是很好的预测错误的频率。隔离分数的可靠性进一步验证植入在真实的基底神经节数据的错误，并通过使用不同的排序算法。我们的结论是，可以获得独立的方法用于尖峰检测和排序的尖峰隔离的定量措施，并建议他们的报告在任何研究的基础上的单个神经元的活动。(c)2007 Elsevier B.V.保留所有权利。
There have been many approaches to the problem of detection and sorting of extra-cellularly recorded action potentials, but only a few methods actually quantify the quality of this fundamental process. In most cases, the quality assessment is based on the subjective judgment of human observers and the recorded units are divided into "well isolated" or "multi-unit" groups. This subjective evaluation precludes comprehensive assessment of single-unit studies since the most basic parameter, i.e. their data quality, is not explicitly defined. Here we propose objective measures to evaluate the quality of spike data, based on the time-stamps of the detected spikes and the high-frequency sampling of the analog signal of cortical and basal-ganglia data. We show that quantification of recording quality by the signal-to-noise ratio (SNR) may be misleading, The recording quality is better assessed by an isolation score that measures the overlap between the noise (non-spike) and the spike clusters. Furthermore, we use a nearest-neighbors algorithm to estimate the proportion of false positive and false negative classification errors. To validate these quality measures, we simulate spike detection and sorting errors and show that the scores are good predictors of the frequency of errors. The reliability of the isolation score is further verified by errors implanted in real basal ganglia data and by using different sorting algorithms. We conclude that quantitative measures of spike isolation can be obtained independently of the method used for spike detection and sorting, and recommend their reports in any study based on the activity of single neurons. (c) 2007 Elsevier B.V. All rights reserved.