Dell'Osso L F, Jacobs J B
Ocular Motor Neurophysiology Laboratory, Veterans Affairs Medical Center, Case Western Reserve University, 10701 East Boulevard, Cleveland, OH 44106, USA.
Biol Cybern. 2001 Dec;85(6):459-71. doi: 10.1007/s004220100275.
The fast phases of latent/manifest latent nystagmus (LMLN) may either cause the target image to fall within (foveating) or outside (defoveating) the foveal area. We previously verified that both types are generated by the same mechanism as voluntary saccades and propose a hypothetical, dual-mode mechanism (computer model) for LMLN that utilizes normal ocular-motor control functions. Fixation data recorded during the past 30 years from 97 subjects with LMLN using both infrared and magnetic search coil oculography were used as a basis for our simulations. The MATLAB/Simulink software was used to construct a robust, modular, ocular motor system model, capable of simulating LMLN. Fast-phase amplitude versus both peak velocity and duration of simulated saccades were equivalent to those of saccades in normal subjects. Based on our LMLN studies, we constructed a hypothetical model in which the slow-phase velocity acted to trigger the change between foveating and defoveating LMLN fast phases. Foveating fast phases were generated during lower slow-phase velocities whereas defoveating fast phases occurred during higher slow-phase velocities. The bidirectional model simulated Alexander's law behavior under all viewing and fixation conditions. Our ocular-motor model accurately simulates LMLN patient ocular motility data and provides a hypothetical explanation for the conditions that result in both foveating and defoveating fast phases. As is the case for normal physiological saccades, the position error determined the saccadic amplitudes for foveating fast phases. However, the final slow-phase velocity determined the amplitudes of defoveating fast phases. In addition, we suggest that individuals with LMLN use their fixation subsystem to further decrease the slow-phase velocity as the target image approaches the foveal center.
潜伏性/显性潜伏性眼球震颤(LMLN)的快相可能会使目标图像落在中央凹区域内(注视)或外(非注视)。我们之前证实,这两种类型均由与随意性扫视相同的机制产生,并提出了一种利用正常眼动控制功能的LMLN假设双模式机制(计算机模型)。过去30年中,使用红外和磁性搜索线圈眼动描记法记录的97例LMLN患者的注视数据被用作我们模拟的基础。MATLAB/Simulink软件被用于构建一个强大的、模块化的眼动系统模型,能够模拟LMLN。模拟扫视的快相幅度与峰值速度和持续时间均与正常受试者的扫视相当。基于我们对LMLN的研究,我们构建了一个假设模型,其中慢相速度起到触发LMLN快相在注视和非注视之间变化的作用。较低的慢相速度时产生注视快相,而较高慢相速度时出现非注视快相。双向模型在所有观察和注视条件下均模拟了亚历山大定律行为。我们的眼动模型准确模拟了LMLN患者的眼动数据,并为导致注视和非注视快相的条件提供了一种假设性解释。与正常生理扫视的情况一样,位置误差决定了注视快相的扫视幅度。然而,最终的慢相速度决定了非注视快相的幅度。此外,我们认为LMLN患者在目标图像接近中央凹中心时会利用其注视子系统进一步降低慢相速度。