Department of Mathematical Sciences, Center for Computational Biology, Montana State University, Bozeman, Montana, United States of America.
PLoS One. 2012;7(5):e37278. doi: 10.1371/journal.pone.0037278. Epub 2012 May 23.
We use topological data analysis to investigate the three dimensional spatial structure of the locus of afferent neuron terminals in crickets Acheta domesticus. Each afferent neuron innervates a filiform hair positioned on a cercus: a protruding appendage at the rear of the animal. The hairs transduce air motion to the neuron signal that is used by a cricket to respond to the environment. We stratify the hairs (and the corresponding afferent terminals) into classes depending on hair length, along with position. Our analysis uncovers significant structure in the relative position of these terminal classes and suggests the functional relevance of this structure. Our method is very robust to the presence of significant experimental and developmental noise. It can be used to analyze a wide range of other point cloud data sets.
我们使用拓扑数据分析来研究蟋蟀 Acheta domesticus 传入神经元末梢的三维空间结构。每个传入神经元都支配着位于触角上的一根丝状毛发:动物后部的一个突出附属物。毛发将空气运动转换为神经元信号,蟋蟀利用该信号来对环境做出反应。我们根据毛发长度以及位置将毛发(和相应的传入末梢)分层到不同的类别。我们的分析揭示了这些末梢类别的相对位置的显著结构,并表明了这种结构的功能相关性。我们的方法对存在显著的实验和发育噪声具有很强的稳健性。它可以用于分析广泛的其他点云数据集。