Eye-tracking and Visual Application Lab (EVALab), Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Eye-tracking and Visual Application Lab (EVALab), Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Laboratory of Sensorimotor Research-NEI, NIH, DHHS, Bethesda, MD, United States.
Prog Brain Res. 2019;249:125-139. doi: 10.1016/bs.pbr.2019.04.018. Epub 2019 May 17.
The cerebellum adapts motor responses by controlling the gain of a movement, preserving its accuracy and by learning from endpoint errors. Adaptive behavior likely acts not only in the motor but also in the sensory, behavioral, and cognitive domains, thus supporting a role of cerebellum in monitoring complex brain performances. Here, we analyzed the relationship between saccade latency, duration and endpoint error of antisaccades in a group of 10 idiopathic cerebellar atrophy (ICA) patients compared to controls. The latency distribution was decomposed in a decision time and a residual time. Both groups showed a trade-off between duration and decision time, with a peak of entropy within the range of this trade-off where the information flow was maximized. In cerebellar patients, greater reductions of duration as the time of decision increased, were associated with a lower probability for a saccade to fall near the target, with a constant low entropy outside the optimal time window. We suggest a modulation of saccade duration, depending on the latency-related decision time (accumulation of sensory and motor evidences in favor of a goal-directed movement), normally adopted to perform efficient trajectories in goal-directed saccades. This process is impaired in cerebellar patients suggesting a role for the cerebellum in monitoring voluntary motor performance by controlling the movement onset until the ambiguity of planning is resolved.
小脑通过控制运动增益来适应运动反应,保持运动的准确性,并通过从终点误差中学习来适应运动。适应性行为可能不仅在运动中起作用,而且在感觉、行为和认知领域起作用,从而支持小脑在监测复杂大脑表现中的作用。在这里,我们分析了 10 名特发性小脑萎缩(ICA)患者与对照组相比,反跳扫视的潜伏期、持续时间和终点误差之间的关系。潜伏期分布被分解为决策时间和剩余时间。两组都表现出持续时间和决策时间之间的权衡,在这个权衡范围内存在一个熵的峰值,信息流量最大。在小脑患者中,随着决策时间的增加,持续时间的减少更大,与扫视靠近目标的概率降低相关,在最佳时间窗口之外,熵值保持较低。我们提出了一种扫视持续时间的调制,取决于与潜伏期相关的决策时间(有利于目标导向运动的感觉和运动证据的积累),这通常用于在目标导向扫视中执行有效的轨迹。小脑患者的这一过程受损,表明小脑在通过控制运动起始来监测自愿运动表现方面发挥作用,直到规划的模糊性得到解决。