Department of Neurology, University Hospital, LMU Munich, Munich, Germany.
Department of Neurology, University Hospital, LMU Munich, Munich, Germany.
Prog Brain Res. 2019;249:141-152. doi: 10.1016/bs.pbr.2019.03.021. Epub 2019 Apr 17.
In a previous study we developed a model for the inter-trial variance of saccade trajectories in the rhesus macaque. The analysis of that model showed that signal-dependent noise results in different effector variabilities depending on whether the noise is propagated feedforward through the system (accumulating noise) or whether the noise originates from inside of a premotor feedback loop (feedback noise). This allowed the gain of the premotor feedback loop to be estimated directly from behavioral data. In the present study, we applied the model in healthy human subjects and in patients with chronic isolated cerebellar lesions due to ischemic stroke. Humans showed smaller noise coefficients of variation for both accumulating noise and feedback noise and smaller feedback gain than the monkeys. Despite these differences in the model parameters, the qualitative differences between the two noise types were similar in both species. Cerebellar patients showed larger inter-trial variance of saccade amplitude compared to controls, but saccade metrics and dynamics were well compensated. The parameters of the noise model did not differ significantly between groups. The variance of the saccade amplitude correlated highly (r=0.95) with the coefficient of variation of accumulating noise but not with the other model parameters. The results suggest that the cerebellum plays a role not only in premotor feedback but also in feedforward saccade control and that the latter is responsible for increased endpoint variance in cerebellar patients.
在之前的研究中,我们为猕猴的眼跳轨迹试验间方差建立了一个模型。该模型的分析表明,信号相关噪声会导致不同的效应器变异性,具体取决于噪声是通过系统前馈传播(累积噪声)还是源自前动反馈回路内部(反馈噪声)。这使得可以直接从行为数据估计前动反馈回路的增益。在本研究中,我们将该模型应用于健康的人类受试者和因缺血性中风导致慢性孤立性小脑病变的患者。与猴子相比,人类的累积噪声和反馈噪声的噪声系数变化较小,反馈增益也较小。尽管模型参数存在这些差异,但两种噪声类型之间的定性差异在两种物种中相似。与对照组相比,小脑病变患者的眼跳幅度试验间方差较大,但眼跳指标和动力学得到了很好的补偿。两组间的噪声模型参数没有显著差异。眼跳幅度的方差与累积噪声的变异系数高度相关(r=0.95),但与其他模型参数无关。结果表明,小脑不仅在前动反馈中发挥作用,而且在眼跳的前馈控制中也发挥作用,后者是小脑病变患者终点方差增加的原因。