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A theory of the dual pathways for smooth pursuit based on dynamic gain control.基于动态增益控制的平稳追踪双通路理论。
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The neuronal basis of on-line visual control in smooth pursuit eye movements.平稳跟踪眼球运动中在线视觉控制的神经基础。
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TMS evidence for smooth pursuit gain control by the frontal eye fields.经颅磁刺激(TMS)对额叶眼区平稳跟踪增益控制的证据。
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本文引用的文献

1
Neural activity in cortical areas MST and FEF in relation to smooth pursuit gain control.与平稳跟踪增益控制相关的大脑皮层MST区和FEF区的神经活动。
Prog Brain Res. 2008;171:261-4. doi: 10.1016/S0079-6123(08)00636-5.
2
Velocity scaling of cue-induced smooth pursuit acceleration obeys constraints of natural motion.线索诱导的平稳追踪加速度的速度缩放遵循自然运动的限制。
Exp Brain Res. 2007 Sep;182(3):343-56. doi: 10.1007/s00221-007-0988-y. Epub 2007 Jun 12.
3
Current models of the ocular motor system.眼动系统的当前模型。
Dev Ophthalmol. 2007;40:158-74. doi: 10.1159/000100485.
4
Extraretinal signals in MSTd neurons related to volitional smooth pursuit.与随意性平稳跟踪相关的MSTd神经元中的视网膜外信号。
J Neurophysiol. 2006 Nov;96(5):2819-25. doi: 10.1152/jn.00538.2006. Epub 2006 Jun 21.
5
The neural basis of smooth-pursuit eye movements.平稳跟踪眼球运动的神经基础。
Curr Opin Neurobiol. 2005 Dec;15(6):645-52. doi: 10.1016/j.conb.2005.10.013. Epub 2005 Nov 3.
6
Cortico-cortical networks and cortico-subcortical loops for the higher control of eye movements.用于眼动高级控制的皮质-皮质网络和皮质-皮质下环路。
Prog Brain Res. 2006;151:461-501. doi: 10.1016/S0079-6123(05)51015-X.
7
The oculomotor role of the pontine nuclei and the nucleus reticularis tegmenti pontis.脑桥核与脑桥被盖网状核的眼球运动作用。
Prog Brain Res. 2006;151:293-320. doi: 10.1016/S0079-6123(05)51010-0.
8
Involvement of the central thalamus in the control of smooth pursuit eye movements.丘脑中央核在平稳跟踪眼球运动控制中的作用。
J Neurosci. 2005 Jun 22;25(25):5866-76. doi: 10.1523/JNEUROSCI.0676-05.2005.
9
Cortical afferents to the smooth-pursuit region of the macaque monkey's frontal eye field.猕猴额叶眼区平稳跟踪区域的皮质传入神经
Exp Brain Res. 2005 Aug;165(2):179-92. doi: 10.1007/s00221-005-2292-z. Epub 2005 Jun 7.
10
A model of smooth pursuit in primates based on learning the target dynamics.基于学习目标动态的灵长类动物平稳跟踪模型。
Neural Netw. 2005 Apr;18(3):213-24. doi: 10.1016/j.neunet.2005.01.001. Epub 2005 Mar 29.

基于动态增益控制的平稳追踪双通路理论。

A theory of the dual pathways for smooth pursuit based on dynamic gain control.

作者信息

Nuding Ulrich, Ono Seiji, Mustari Michael J, Büttner Ulrich, Glasauer Stefan

机构信息

Bernstein Center for Computational Neuroscience, Ludwig-Maximilians-Univeristy Munich, Munich, Germany.

出版信息

J Neurophysiol. 2008 Jun;99(6):2798-808. doi: 10.1152/jn.90237.2008. Epub 2008 Apr 2.

DOI:10.1152/jn.90237.2008
PMID:18385485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4271660/
Abstract

The smooth pursuit eye movement (SPEM) system is much more sensitive to target motion perturbations during pursuit than during fixation. This sensitivity is commonly attributed to a dynamic gain control mechanism. Neither the neural substrate nor the functional architecture for this gain control has been fully revealed. There are at least two cortical areas that crucially contribute to smooth pursuit and are therefore eligible sites for dynamic gain control: the medial superior temporal area (MST) and the pursuit area of the frontal eye fields (FEFs), which both project to brain stem premotor structures via parallel pathways. The aim of this study was to develop a model of smooth pursuit based on behavioral, anatomical, and neurophysiological results to account for nonlinear dynamic gain control. Using a behavioral paradigm in humans consisting of a sinusoidal oscillation (4 Hz, +/-8 degrees/s) superimposed on a constant velocity target motion (0-24 degrees/s), we were able to identify relevant gain control parameters in the model. A salient feature of our model is the emergence of two parallel pathways from higher visual cortical to lower motor areas in the brain stem that correspond to the MST and FEF pathways. Detailed analysis of the model revealed that one pathway mainly carries eye velocity related signals, whereas the other is associated mostly with eye acceleration. From comparison with known neurophysiological results we conclude that the dynamic gain control can be attributed to the FEF pathway, whereas the MST pathway serves as the basic circuit for maintaining an ongoing SPEM.

摘要

平稳跟踪眼球运动(SPEM)系统在跟踪过程中对目标运动扰动的敏感度远高于注视过程。这种敏感度通常归因于一种动态增益控制机制。然而,这种增益控制的神经基质和功能结构尚未完全明晰。至少有两个对平稳跟踪至关重要的皮质区域,因此是动态增益控制的合适位点:颞上内侧区(MST)和额叶眼动区(FEF)的跟踪区域,它们均通过平行通路投射至脑干运动前结构。本研究的目的是基于行为学、解剖学和神经生理学结果建立一个平稳跟踪模型,以解释非线性动态增益控制。通过使用一种人类行为范式,即在匀速目标运动(0 - 24度/秒)上叠加正弦振荡(4赫兹,±8度/秒),我们能够在模型中确定相关的增益控制参数。我们模型的一个显著特征是,从大脑中较高视觉皮质到脑干较低运动区域出现了两条平行通路,分别对应于MST通路和FEF通路。对该模型的详细分析表明,一条通路主要传递与眼球速度相关的信号,而另一条通路则主要与眼球加速度相关。通过与已知神经生理学结果的比较,我们得出结论,动态增益控制可归因于FEF通路,而MST通路则作为维持持续SPEM的基本回路。