Neural Control of Eye Movement

眼球运动的神经控制

基本信息

批准号：
10176502
负责人：
STEPHEN G LISBERGER
金额：
$ 49.97万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2022-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10176502
关键词：
Anatomy Area Basal Ganglia Bayesian Analysis Bayesian Modeling Behavior Behavioral Biological Brain Brain Stem Cell Nucleus Cerebellum Code Collaborations Computer Analysis Data Development Eye Movements Goals Health Human Joints Location Maps Modeling Modification Motion Motor Motor Cortex Movement Nature Nerve Degeneration Neurons Output Parietal Pontine structure Population Recurrence Research Response Latencies Sensory Signal Transduction Site Smooth Pursuit Speed Spinal Cord Stimulus Stroke Structure System Testing Variant Visual Visual Cortex Weight Work area MT base behavioral response computer framework extrastriate extrastriate visual cortex eye velocity frontal eye fields improved motor disorder neural circuit neuroregulation novel strategies operation relating to nervous system response sample fixation sensory cortex visual motor visual processing visual stimulus

项目摘要

Sensory and motor cortices cooperate to provide the visual guidance of movement by processing visual inputs and providing voluntary modulation of how strongly those inputs reach sub-cortical motor circuits. The present proposal uses smooth pursuit eye movements to ask how visual and motor cortex interact to produce smooth pursuit eye movements. First, it will study the neural basis for “gain-control”. In pursuit, the smooth eye movement region of the frontal eye fields (FEFSEM) modulates the strength of visual-drive for pursuit. Recordings from sensory area MT, motor area FEFSEM, and their brainstem targets will ask how gain control is represented a) when a target is perturbed during pursuit or fixation and b) for high-contrast and low- contrast visual stimuli, which produce high and low gains in the initiation of pursuit. Second, the research will evaluate the neural basis for pursuit latency. It will expand on preliminary data showing a trial-by-trial relationship between neural and pursuit latency in MT. It will ask whether latency or response amplitude in FEFSEM is better related to pursuit latency. It also will record from multiple single neurons in both structures to document how strongly the latencies are correlated across the population. Third, the proposed research will record simultaneously from multiple single neurons in MT and FEFSEM to determine the nature of the functional connectivity between the two areas, and to provide data that constrain how signals are transformed as they move from sensory to motor areas of the cortex. Integrated computational analyses will inform the experimental approaches by answering key questions such as: 1) how is the output from area MT used simultaneously to estimate the speed and direction of target motion and to determine how strongly the motor system should weight sensory evidence; 2) what is the functional connectivity among MT, FEFSEM, and the downstream motor system, and how can the system account for the mean, variation, and correlations among neural and behavioral responses; 3) How do MT and FEFSEM interact to control pursuit latency. The proposed research will make large steps towards understanding how multiple sites within the circuit for pursuit eye movements coordinate visual guidance of movement.

感觉皮层和运动皮层合作，通过处理视觉来提供运动的视觉引导输入并提供对这些输入到达皮层下运动电路的强度的自愿调节。目前的提案使用平滑的追踪眼球运动来询问视觉和运动皮层如何相互作用以产生首先，它将研究“增益控制”的神经基础。额叶眼区的眼球运动区域（FEFSEM）调节追求视觉驱动的强度。来自感觉区 MT、运动区 FEFSEM 及其脑干目标的记录将询问如何获得控制表示 a) 当目标在追踪或注视过程中受到干扰时以及 b) 对于高对比度和低对比度时对比视觉刺激，在追求的启动中产生高收益和低收益。它将扩展显示逐项试验的初步数据，评估追踪潜伏期的神经基础。 MT中神经潜伏期和追踪潜伏期之间的关系会询问潜伏期或反应幅度。 FEFSEM 与追踪延迟有更好的关系，它还会记录两个结构中的多个单个神经元。第三，拟议的研究将记录延迟在人群中的相关性。在 MT 和 FEFSEM 中同时记录多个单个神经元，以确定神经元的性质两个区域之间的功能连接，并提供约束信号如何传输的数据当它们从皮层的感觉区域移动到运动区域时，整合的计算分析将会发生转变。通过回答以下关键问题来告知实验方法：1）区域 MT 的输出如何同时用于估计目标运动的速度和方向，并确定目标运动的强度运动系统应该重视感觉证据；2）MT、FEFSEM 和下游运动系统，以及该系统如何解释平均值、变化和相关性神经和行为反应之间的关系；3）MT 和 FEFSEM 如何相互作用来控制追踪延迟。拟议的研究将在理解电路中的多个站点如何追求眼球运动协调视觉引导运动。