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Uncovering flow and deformation regimes in the coupled fluid–solid vestibular system

Published online by Cambridge University Press:  05 November 2025

Javier Chico-Vazquez
Affiliation:
Mathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK
Derek E. Moulton
Affiliation:
Mathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK
Dominic Vella*
Affiliation:
Mathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK
*
Corresponding author: Dominic Vella, dominic.vella@maths.ox.ac.uk

Abstract

In this paper, we showcase how flow obstruction by a deformable object can lead to symmetry breaking in curved domains subject to angular acceleration. Our analysis is motivated by the deflection of the cupula, a soft tissue located in the inner ear that is used to perceive rotational motion as part of the vestibular system. The cupula is understood to block the rotation-induced flow in a toroidal region with the flow-induced deformation of the cupula used by the brain to infer motion. By asymptotically solving the governing equations for this flow, we characterise regimes for which the sensory system is sensitive to either angular velocity or angular acceleration. Moreover, we show the fluid flow is not symmetric in the latter case. Finally, we extend our analysis of symmetry breaking to understand the formation of vortical flow in cavernous regions within channels. We discuss the implications of our results for the sensing of rotation by mammals.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Schematic of the vestibular system. (a) Inner ear and vestibular apparatus: Three mutually orthogonal semicircular canals (SCCs), each containing a cupula, send information to the nervous system about the rotational motion of the head. (b) Zoom-in of the obstruction within each SCC caused by the cupula. Information about the rotation of each SCC is inferred from the deflection of its cupula – the inertia of the fluid that fills the SCC (endolymph) causes the cupula to deform. (Cupula deformation is sensed via innervated cilia that are embedded within the cupula.)

Figure 1

Figure 2. Problem set-up. (a) Plan view of a semicircular canal showing the spatially varying canal radius, $\hat {a}(\hat {s})$, and the cupula (shaded in grey), which is situated in the enlarged portion, or utricle. (b) Schematic of the chosen coordinate system. (c) Close-up of the region around the cupula, highlighting the cupula’s thickness, $t_h$, and its attachment to the canal walls via the ‘crista’ (black region) (The toroidal flow is shown schematically here to allow the zoom-in on the cupula.).

Figure 2

Figure 3. Cross-section of the velocity fields in the cupula as computed using COMSOL simulations. Results are shown for a range of cupula stiffnesses. Colour represents the relative magnitude of the fluid speed, with red denoting regions in which the flow is fast and blue representing stagnant regions; streamlines are represented by solid black curves. As the stiffness of the cupula increases, a symmetry-breaking of the flow occurs. In particular, for values of the Young’s modulus $E\gt 10^3$ Pa, the flow is usually not axially symmetric. Here, $\hat { \varOmega }(\hat {t}) =\varOmega _0 \sin (2\pi \hat {t}/\mathcal{T})$ and the snapshots are taken at $\hat {t}=0.25$ s, with $\varOmega _0=1$ rad s$^{-1}$ and $\mathcal{T}=1$ s. The geometrical parameters are $a = 1.6 \times 10^{-4}$ m, $R=3.2\times 10^{-3}$ m and $t_h = 0.8\times 10^{-4}$ m. (a) $E = 10^{2}\,\textrm{Pa}$, (b) $E = 10^{3}\,\textrm{Pa}$, (c) $E = 10^{4}\,\textrm{Pa}$ and (a) $E = 10^{5}\,\textrm{Pa}$.

Figure 3

Figure 4. Velocity profiles predicted by (3.9) as the torus aspect ratio, $\epsilon$, and leading-order term vary. Note how when $\dot {\varOmega }(t)$ and $\kappa \Delta p/(2\pi )$ cancel each other, the asymmetric flow dominates. Moreover, the symmetry breaking becomes observable earlier for larger values of $\epsilon$, though we reiterate that our theory is formally valid only for $\epsilon \ll 1$. Note that the horizontal axis may be interpreted as the phase difference between $\dot \varOmega$ and $-\Delta p$.

Figure 4

Figure 5. Influence of dimensionless stiffness $\kappa$ on the cupular deformation. (a) As $\kappa$ is increased, the deformation (normalised by the maximum) transitions from following the angular velocity to following the angular acceleration. (b) This transition with $\kappa$ may be shown by plotting the correlation, $R$, between the deformation and the angular velocity $\varOmega (t)$ (solid curve) or the angular acceleration $\dot {\varOmega }(t)$ (dashed curve). A transition between the two regimes occurs at $\kappa \approx 100$. In both plots, colour is used to show the value of $\kappa$, as indicated in the inset of (a).

Figure 5

Figure 6. Comparison of the pressure difference across the cupula as predicted by COMSOL simulations (markers) and the theoretical prediction from (3.25) (Solid line). As expected from the results in § 3.2, depending on the value of $\kappa$, the deformation tracks either the angular velocity or angular deformation of the forcing (given by (3.24)). The parameter values used are given in the main text, which correspond to ${St}=0.0256$.

Figure 6

Figure 7. Numerically obtained velocity profiles (blue markers) and theoretical predictions (black solid curves) from (3.9a) and (3.9b), sampled at $s=\pi$ (the furthest location from the cupula). As $\kappa$ increases, the velocity profile ceases to be symmetric at $\kappa \approx 10^3$. The imposed rotation is given by (3.24), with the simulation output sampled at seven different times. Parameter values are the same as in figure 6.

Figure 7

Figure 8. (a) Solution to (5.7), when $\dot \varOmega (t)=0$ and $\Delta p_0 (t=0)=1$ for different values of the Stokes number, showing underdamped dynamics for large enough ${St}$. (b) Bifurcation diagram, showing the evolution of ${\textrm{Re}}(\bar {\omega })$ (blue) and $\textrm{Im}(\bar {\omega })$ (red). Markers represent the numerically obtained solution from (5.8) and dashed lines the analytical approximation (5.9). (c) Bifurcation diagram for $\dot \varOmega (t)\sim e^{\textit{it}}$, showing how the transition between the three regimes depends on both $\kappa$ and ${St}$. Colour represents the complex angle of $\chi$, with purple representing $\arg (\chi )=0$, green is $\arg (\chi )=\pi /2$ and yellow is $\arg (\chi )=\pi$, as described in the colourbar to the right.

Figure 8

Figure 9. Velocity profiles for $t=0.5$, including the finite fluid inertia correction. Numerical results (blue markers) are compared with the theories for $St=0$ (dashed black line) and $St\gt0$ (solid red line). The parameter values are the same as in figure 7.

Figure 9

Figure 10. Analytical reconstruction of vortical flow in the utricle as the maximum channel radius, $a_m$, increases. The channel has a largely uniform radius, but is wider in the vicinity of the utricle – see (6.1) for the detailed profile of the tube. Here, we observe how as the size of the utricle is augmented the vortex develops. The forcing is given by (3.24) and we show the solution at time $t=0.25$. The parameters used are $\epsilon =0.05$, and $\kappa =0.1$. Furthermore, we use the solution from § 3 that assumes the fluid inertia is vanishingly small, i.e. ${St}=0$.

Figure 10

Figure 11. (a) Analytical reconstruction of flow profiles in the wide region of the channel (representing the utricle), $w(r,\theta ,s=\pi ,t)$ for different values of the maximum enlargement $a_m$. The inset shows the flow profiles in the thin region of the flow $w(r,\theta ,s=0,t)$; these remain symmetric, confirming the symmetry breaking mechanism is not the same as the global symmetry-breaking mechanism discussed in § 3.2. (b) Correlation (as defined in (6.6a)) between the axial velocity in the utricle $w(r)=w_0(r)+\epsilon w_1(r,\theta )$, and the symmetric (solid) and asymmetric flow profile (dashed). Curves show the results of the analytical computation and triangles and stars show the correlations computed from the COMSOL solution. We find that the transition occurs when $\xi = a_m^5 I_4\epsilon /(3\sqrt {3}\pi ) \sim 1$, as predicted by our analysis.

Figure 11

Figure 12. Diagram for rotational motion not centred on the SCCs.

Figure 12

Figure 13. Numerically obtained deformation of the solid material at $\hat {t}=0.25$ s, normalised by the maximum deformation. (a) Deformation along the direction perpendicular to the canal centreline (in the model’s coordinate system, this is along $r$). (b) Deformation in the direction parallel to the centreline (i.e. along $z$). (c) Deformation at the centre of the cupula plotted as a function of the Young’s modulus. All deformations shown have been averaged over the azimuthal direction $\theta$.

Figure 13

Figure 14. (a) Numerically obtained cupular deformation $\eta (r)$ for $\beta \lt 0.5$, scaled by deformation of a plate, and plate deformation (black dashed line) for reference. (b) Numerically obtained cupular deformation $\eta (r)$ for $\beta \geqslant 0.5$, scaled by deformation of a plate, and the thick cupula limit (B15) (black dotted line) for reference. Colour indicates the dimensionless thickness of the cupula for both panels.

Figure 14

Figure 15. (a) Evolution of the maximum deformation (at $r=1$) as a function of the thickness for numerically obtained profiles (black markers), analytical solution obtained using weak boundary conditions (solid red line) and composite solution obtained by summing the thin and thick cupula limits (dashed green line). (b) Relative error between the weak boundary conditions and numerics (solid red line) and composite solution and numerics (dashed green line).

Figure 15

Figure 16. (a) Least squares error for (F14a) and (F19), with the series truncated at $N=20$. (b) Convergence of the coefficients $a_n$ and $b_n$. (c) Plot of $\Delta p_1^{\textit{BL}}(r)$ as given in (F28) for $f_1(t)=g_1(\beta )=1$.