Sasaki Takuya, Takahashi Naoya, Matsuki Norio, Ikegaya Yuji
Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
J Neurophysiol. 2008 Sep;100(3):1668-76. doi: 10.1152/jn.00084.2008. Epub 2008 Jul 2.
Large-scale recording from a population of neurons is a promising strategy for approaching the study of complex brain functions. Taking advantage of the fact that action potentials reliably evoke transient calcium fluctuations in the cell body, functional multineuron calcium imaging (fMCI) monitors the suprathreshold activity of hundreds of neurons. However, a limitation of fMCI is its semi-manual procedure of spike extraction from somatic calcium fluctuations, which is not only time consuming but is also associated with human errors. Here we describe a novel automatic method that combines principal-component analysis and support vector machine. This simple algorithm determines the timings of the spikes in calcium fluorescence traces more rapidly and reliably than human operators.
从一群神经元进行大规模记录是研究复杂脑功能的一种很有前景的策略。利用动作电位能可靠地诱发细胞体中瞬时钙波动这一事实，功能性多神经元钙成像（fMCI）可监测数百个神经元的阈上活动。然而，fMCI的一个局限性在于其从体细胞钙波动中提取尖峰的半手动程序，这不仅耗时，而且还会出现人为误差。在此，我们描述了一种结合主成分分析和支持向量机的新型自动方法。这种简单的算法比人工操作能更快、更可靠地确定钙荧光迹线中尖峰的时间。
