Newcastle University, Faculty of Medical Sciences, Newcastle-upon-Tyne, UK.
Magic Leap Inc, Zurich, Switzerland.
J Vis. 2024 Mar 1;24(3):4. doi: 10.1167/jov.24.3.4.
Accommodation is the process of adjusting the eye's optical power so as to focus at different distances. Uncorrected refractive error and/or functional presbyopia mean that sharp focus may not be achievable for some distances, so observers experience sustained defocus. Here, we identify a problem with current models of accommodative control: They predict excessive internal responses to stimuli outside accommodative range, leading to unrealistic adaptation effects. Specifically, after prolonged exposure to stimuli outside range, current models predict long latencies in the accommodative response to stimuli within range, as well as unrealistic dynamics and amplitudes of accommodative vergence innervation driven by the accommodative neural controller. These behaviors are not observed empirically. To solve this issue, we propose that the input to blur-driven accommodation is not retinal defocus, but correctable defocus. Predictive models of accommodative control already estimate demand from sensed defocus, using a realistic "virtual plant" to estimate accommodation. Correctable defocus can be obtained by restricting this demand to values physically attainable by the eye. If we further postulate that correctable defocus is computed using an idealized virtual plant that retains a young accommodative range, we can explain why accommodative-convergence responses are observed for stimuli that are too near-but not too far-to focus on. We model cycloplegia as a change in gain, and postulate a form of neural myopia to explain the additional relaxation of accommodation often seen with cycloplegia. This model produces plausible predictions for the accommodative response and accommodative convergence signal in a wide range of clinically relevant situations.
适应是调整眼睛光学功率的过程,以便在不同距离聚焦。未经矫正的屈光不正和/或功能性老视意味着,对于某些距离,清晰焦点可能无法实现,因此观察者会持续出现散焦。在这里,我们发现了一个关于调节控制的当前模型的问题:它们预测了对调节范围外刺激的过度内部反应,导致不现实的适应效应。具体来说,在长时间暴露于范围外的刺激后,当前的模型预测了在范围内的刺激下调节反应的长潜伏期,以及不现实的调节性集合神经支配的动态和幅度,由调节性神经控制器驱动。这些行为在经验上没有观察到。为了解决这个问题,我们提出,模糊驱动适应的输入不是视网膜散焦,而是可矫正的散焦。已经使用现实的“虚拟植物”来估计调节需求的调节控制预测模型,从而估算调节。可矫正的散焦可以通过将这种需求限制在眼睛实际可达到的值来获得。如果我们进一步假设,可矫正的散焦是使用保留年轻调节范围的理想化虚拟植物来计算的,那么我们就可以解释为什么对于太近但无法聚焦的刺激,会观察到调节性集合反应。我们将睫状肌麻痹建模为增益的变化,并假设一种神经近视的形式来解释在睫状肌麻痹时经常观察到的调节放松。该模型对各种临床相关情况下的调节反应和调节性集合信号产生了合理的预测。