注视和扫视之间的功能失调模式切换:对两种不寻常的临床障碍的合作见解。

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Journal of Computational Neuroscience Pub Date : 2021-08-01 Epub Date: 2021-04-10 DOI:10.1007/s10827-021-00785-6
Janet C Rucker, John-Ross Rizzo, Todd E Hudson, Anja K E Horn, Jean A Buettner-Ennever, R John Leigh, Lance M Optican
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引用次数: 0

摘要

自发的快速眼球运动(扫视)将中央凹指向视觉感兴趣的物体。扫视系统可以被认为是一种双模式系统:在一种模式下,眼睛注视着,在另一种模式下,眼睛进行扫视。在这篇综述中,我们考虑了两个功能失调的扫视例子,迟发性tae - sachs病的扫视中断和脑震荡后的注视位置依赖性视后斜视,它们不能正确地在注视模式和扫视模式之间转换。强调从临床和基础科学家之间的双向合作交流中获得的见解和利益。在中断性扫视的情况下,现有的数学模型已经足够详细,可以为中断性扫视的原因提供支持。对于注视位置依赖性的倒立,现有的模型无法解释这种行为,但进一步的发展为这种行为的机制提供了一个合理的假设。临床科学和基础科学之间的合作是开发生物学上合理的模型和理解神经系统疾病的丰富进展来源。用特定的假设(模型)来处理临床问题,通常会促使新的实验测试,并提供对基本机制的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dysfunctional mode switching between fixation and saccades: collaborative insights into two unusual clinical disorders.

Voluntary rapid eye movements (saccades) redirect the fovea toward objects of visual interest. The saccadic system can be considered as a dual-mode system: in one mode the eye is fixating, in the other it is making a saccade. In this review, we consider two examples of dysfunctional saccades, interrupted saccades in late-onset Tay-Sachs disease and gaze-position dependent opsoclonus after concussion, which fail to properly shift between fixation and saccade modes. Insights and benefits gained from bi-directional collaborative exchange between clinical and basic scientists are emphasized. In the case of interrupted saccades, existing mathematical models were sufficiently detailed to provide support for the cause of interrupted saccades. In the case of gaze-position dependent opsoclonus, existing models could not explain the behavior, but further development provided a reasonable hypothesis for the mechanism underlying the behavior. Collaboration between clinical and basic science is a rich source of progress for developing biologically plausible models and understanding neurological disease. Approaching a clinical problem with a specific hypothesis (model) in mind often prompts new experimental tests and provides insights into basic mechanisms.

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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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