Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.
Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Biophys J. 2018 Jan 23;114(2):474-483. doi: 10.1016/j.bpj.2017.11.3746.
Acoustical excitation of the organ of Corti induces radial fluid flow in the subtectorial space (STS) that excites the hair bundles (HBs) of the sensory inner hair cell of the mammalian cochlea. The inner hair cell HBs are bathed in endolymphatic fluid filling a thin gap in the STS between the tectorial membrane and the reticular lamina. According to the fluctuation dissipation theorem, the fluid viscosity gives rise to mechanical fluctuations that are transduced into current noise. Conversely, the stochastic fluctuations of the mechanically gated channels of the HBs also induce dissipation. We develop an analytic model of the STS complex in a cross section of the gerbil organ of Corti. We predict that the dominant noise at the apex is due to the channel stochasticity whereas viscous effects dominate at the base. The net root mean square fluctuation of the HB motion is estimated to be at least 1.18 nm at the base and 2.72 nm at the apex. By varying the HB height for a fixed STS gap, we find that taller HBs are better sensors with lower thresholds. An integrated active HB model is shown to reduce the hydrodynamic resistance through a cycle-by-cycle power addition through adaptation, reducing the thresholds of hearing, hinting at one potential role for HB activity in mammalian hearing. We determine that a Couette flow approximation in the STS underestimates the dissipation and that modeling the entire STS complex is necessary to correctly predict the low-frequency dissipation in the cochlea. Finally, the difference in the noise budget at the base and the apex of the cochlea indicate that a sensing modality other than the shear motion of the TM that may be used to achieve low-noise acoustic sensing at the apex.
耳蜗器官的声学激发会在基板下腔(STS)中引起径向流体流动,从而激发哺乳动物耳蜗感觉内毛细胞的毛束(HBs)。内毛细胞 HBs 浸泡在内淋巴液中,内淋巴液填充了位于盖膜和网状层之间的 STS 中的薄间隙。根据涨落耗散定理,流体粘度会引起机械波动,从而转化为电流噪声。相反,HB 的机械门控通道的随机波动也会引起耗散。我们在沙鼠耳蜗器官的横截面上开发了一个 STS 复合体的解析模型。我们预测,顶点处的主要噪声是由于通道随机性引起的,而粘性效应在底部占主导地位。HB 运动的均方根波动估计至少在基底处为 1.18nm,在顶点处为 2.72nm。通过为固定的 STS 间隙改变 HB 的高度,我们发现较高的 HB 是更好的传感器,具有更低的阈值。通过自适应循环功率添加,显示整合的活跃 HB 模型可以降低流体动力阻力,从而降低听力阈值,暗示 HB 活动在哺乳动物听力中可能具有潜在作用。我们确定 STS 中的库埃特流近似值低估了耗散,并且需要对整个 STS 复合体进行建模才能正确预测耳蜗中的低频耗散。最后,耳蜗底部和顶点处的噪声预算差异表明,可能会使用除 TM 的剪切运动之外的其他感觉模式来实现顶点处的低噪声声感。