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哺乳动物耳石极化矢量的分布:模型预测与单细胞记录的比较

The distribution of otolith polarization vectors in mammals: comparison between model predictions and single cell recordings.

作者信息

Jaeger R, Kondrachuk A V, Haslwanter T

机构信息

Department of Theoretical Astrophysics, University of Tübingen, Auf der Morgenstelle 10, 72076 Tübingen, Germany.

出版信息

Hear Res. 2008 May;239(1-2):12-9. doi: 10.1016/j.heares.2008.01.004. Epub 2008 Jan 20.

DOI:10.1016/j.heares.2008.01.004
PMID:18316166
Abstract

The transformation of head-movements into neural signals represents a multi-stage process. It depends on orientation and movement of the head, the geometry and mechanics of the vestibular sensors, and the ensuing processing of the peripheral vestibular signals. While this process is well understood for the semicircular canals, where each canal transduces the angular velocity in the corresponding canal plane, the contributions of the individual otoliths, our linear acceleration sensors, are still under debate. This is in part due to the complex geometrical structure of the otoliths. To improve our understanding of the otoliths, we have developed a new technique to visualize otolith function: using measured 3D-shapes of human otoliths and the observed 2D patterns of hair cell orientation over the epithelia, morphological polarization vectors are predicted. To visualize the geometric distribution of these vectors, we have created distribution plots which indicate the density of hair cell polarization vectors for the different directions. In many respects, our results closely agree with earlier recordings of polarization vectors of vestibular afferents in squirrel monkeys: for example, hair cells on the saccule do not cover the sagittal plane equally, but show a strong concentration in the dorso-ventral directions. Some discrepancies exist in the density distribution of otolith, which could provide valuable information for future anatomical investigations of the otoliths.

摘要

头部运动向神经信号的转化是一个多阶段过程。它取决于头部的方位和运动、前庭传感器的几何形状和力学特性,以及随后对外周前庭信号的处理。虽然对于半规管来说,这个过程已经得到了很好的理解,每个半规管在相应的管平面内转导角加速度,但作为我们线性加速度传感器的各个耳石的贡献仍存在争议。部分原因在于耳石复杂的几何结构。为了增进我们对耳石的理解,我们开发了一种可视化耳石功能的新技术:利用测量得到的人类耳石的三维形状以及上皮组织上观察到的毛细胞取向的二维模式,预测形态极化矢量。为了可视化这些矢量的几何分布,我们创建了分布图,这些图显示了不同方向上毛细胞极化矢量的密度。在许多方面,我们的结果与之前松鼠猴前庭传入神经极化矢量的记录密切相符:例如,球囊上的毛细胞并没有均匀地覆盖矢状面,而是在背腹方向上有很强的集中分布。耳石密度分布存在一些差异,这可能为未来耳石的解剖学研究提供有价值的信息。

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