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帕西尼小体和赫伯斯特小体振动触觉敏感性的种间计算分析。

An inter-species computational analysis of vibrotactile sensitivity in Pacinian and Herbst corpuscles.

作者信息

Quindlen-Hotek Julia C, Bloom Ellen T, Johnston Olivia K, Barocas Victor H

机构信息

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.

出版信息

R Soc Open Sci. 2020 Apr 29;7(4):191439. doi: 10.1098/rsos.191439. eCollection 2020 Apr.

DOI:10.1098/rsos.191439
PMID:32431862
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7211856/
Abstract

Vibration sensing is ubiquitous among vertebrates, with the sensory end organ generally being a multilayered ellipsoidal structure. There is, however, a wide range of sizes and structural arrangements across species. In this work, we applied our earlier computational model of the Pacinian corpuscle to predict the sensory response of different species to various stimulus frequencies, and based on the results, we identified the optimal frequency for vibration sensing and the bandwidth over which frequencies should be most detectable. We found that although the size and layering of the corpuscles were very different, almost all of the 19 species studied showed very similar sensitivity ranges. The human and goose were the notable exceptions, with their corpuscle tuned to higher frequencies (130-170 versus 40-50 Hz). We observed no correlation between animal size and any measure of corpuscle geometry in our model. Based on the results generated by our computational model, we hypothesize that lamellar corpuscles across different species may use different sizes and structures to achieve similar frequency detection bands.

摘要

振动感知在脊椎动物中普遍存在,其感觉末梢器官通常是一种多层椭圆形结构。然而,不同物种的感觉末梢器官在大小和结构排列上存在很大差异。在这项研究中,我们应用了我们早期关于帕西尼小体的计算模型来预测不同物种对各种刺激频率的感觉反应,并根据结果确定了振动感知的最佳频率以及最易检测到频率的带宽。我们发现,尽管小体的大小和层数差异很大,但所研究的19个物种中几乎所有物种都表现出非常相似的灵敏度范围。人类和鹅是明显的例外,它们的小体调谐到更高的频率(130 - 170赫兹与40 - 50赫兹)。在我们的模型中,我们没有观察到动物大小与小体几何形状的任何测量值之间存在相关性。基于我们计算模型产生的结果,我们推测不同物种的板层小体可能使用不同的大小和结构来实现相似的频率检测范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/eded809108c4/rsos191439-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/ce8adc61fe56/rsos191439-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/d2e1e98236d2/rsos191439-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/0b963ab5f98a/rsos191439-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/eded809108c4/rsos191439-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/ce8adc61fe56/rsos191439-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/d2e1e98236d2/rsos191439-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/0b963ab5f98a/rsos191439-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8769/7211856/eded809108c4/rsos191439-g4.jpg

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IEEE Trans Haptics. 2019 Oct-Dec;12(4):635-644. doi: 10.1109/TOH.2019.2903500. Epub 2019 Mar 26.
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A finite-element model of mechanosensation by a Pacinian corpuscle cluster in human skin.人体皮肤中类帕西尼小体簇机械感觉的有限元模型。
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Micropipette aspiration of the Pacinian corpuscle.
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