Schor Clifton M, Bharadwaj Shrikant R
School of Optometry & Vision Science, University of California at Berkeley, Berkeley, CA 94720, USA.
J Refract Surg. 2008 Nov;24(9):984-90. doi: 10.3928/1081597X-20081101-23.
When the aging lens is replaced with prosthetic accommodating intraocular lenses (IOLs), with effective viscoelasticities different from those of the natural lens, mismatches could arise between the neural control of accommodation and the biomechanical properties of the new lens. These mismatches could lead to either unstable oscillations or sluggishness of dynamic accommodation. Using computer simulations, we investigated whether optimal accommodative responses could be restored through recalibration of the neural control of accommodation. Using human experiments, we also investigated whether the accommodative system has the capacity for adaptive recalibration in response to changes in lens biomechanics.
Dynamic performance of two accommodating IOL prototypes was simulated for a 45-year-old accommodative system, before and after neural recalibration, using a dynamic model of accommodation. Accommodating IOL I, a prototype for an injectable accommodating IOL, was less stiff and less viscous than the natural 45-year-old lens. Accommodating IOL II, a prototype for a translating accommodating IOL, was less stiff and more viscous than the natural 45-year-old lens. Short-term adaptive recalibration of dynamic accommodation was stimulated using a double-step adaptation paradigm that optically induced changes in neuromuscular effort mimicking responses to changes in lens biomechanics.
Model simulations indicate that the unstable oscillations or sluggishness of dynamic accommodation resulting from mismatches between neural control and lens biomechanics might be restored through neural recalibration.
Empirical measures reveal that the accommodative system is capable of adaptive recalibration in response to optical loads that simulate effects of changing lens biomechanics.
当用具有不同于天然晶状体有效粘弹性的人工可调节人工晶状体(IOL)替换老化晶状体时,调节的神经控制与新晶状体的生物力学特性之间可能会出现不匹配。这些不匹配可能导致动态调节的不稳定振荡或迟缓。我们通过计算机模拟研究了是否可以通过重新校准调节的神经控制来恢复最佳调节反应。我们还通过人体实验研究了调节系统是否具有响应晶状体生物力学变化进行自适应重新校准的能力。
使用调节动态模型,对一个45岁调节系统在神经重新校准前后的两种可调节IOL原型的动态性能进行模拟。可调节IOL I是一种可注射可调节IOL的原型,其刚度和粘性低于45岁的天然晶状体。可调节IOL II是一种平移式可调节IOL的原型,其刚度低于45岁的天然晶状体,但粘性更高。使用双步适应范式刺激动态调节的短期自适应重新校准,该范式通过光学方式诱导神经肌肉努力的变化,模拟对晶状体生物力学变化的反应。
模型模拟表明,神经控制与晶状体生物力学之间的不匹配导致的动态调节不稳定振荡或迟缓可能通过神经重新校准得到恢复。
实证措施表明,调节系统能够响应模拟晶状体生物力学变化影响的光学负荷进行自适应重新校准。