Vieluf Solveig, Sleimen-Malkoun Rita, Voelcker-Rehage Claudia, Jirsa Viktor, Reuter Eva-Maria, Godde Ben, Temprado Jean-Jacques, Huys Raoul
Institute of Sports Medicine, University of Paderborn, Paderborn, Germany.
Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), Institut des Sciences du Mouvement, Marseille, France.
J Neurophysiol. 2017 Jul 1;118(1):176-186. doi: 10.1152/jn.00691.2016. Epub 2017 Mar 29.
From the conceptual and methodological framework of the dynamical systems approach, force control results from complex interactions of various subsystems yielding observable behavioral fluctuations, which comprise both deterministic (predictable) and stochastic (noise-like) dynamical components. Here, we investigated these components contributing to the observed variability in force control in groups of participants differing in age and expertise level. To this aim, young (18-25 yr) as well as late middle-aged (55-65 yr) novices and experts (precision mechanics) performed a force maintenance and a force modulation task. Results showed that whereas the amplitude of force variability did not differ across groups in the maintenance tasks, in the modulation task it was higher for late middle-aged novices than for experts and higher for both these groups than for young participants. Within both tasks and for all groups, stochastic fluctuations were lowest where the deterministic influence was smallest. However, although all groups showed similar dynamics underlying force control in the maintenance task, a group effect was found for deterministic and stochastic fluctuations in the modulation task. The latter findings imply that both components were involved in the observed group differences in the variability of force fluctuations in the modulation task. These findings suggest that between groups the general characteristics of the dynamics do not differ in either task and that force control is more affected by age than by expertise. However, expertise seems to counteract some of the age effects. Stochastic and deterministic dynamical components contribute to force production. Dynamical signatures differ between force maintenance and cyclic force modulation tasks but hardly between age and expertise groups. Differences in both stochastic and deterministic components are associated with group differences in behavioral variability, and observed behavioral variability is more strongly task dependent than person dependent.
从动力系统方法的概念和方法框架来看,力的控制源于各个子系统的复杂相互作用,产生可观察到的行为波动,其中包括确定性(可预测)和随机性(类似噪声)的动态成分。在此,我们研究了这些成分对不同年龄和专业水平参与者群体中观察到的力控制变异性的影响。为此,年轻(18 - 25岁)以及中老年(55 - 65岁)的新手和专家(精密机械师)进行了力维持和力调制任务。结果表明,在维持任务中,力变异性的幅度在各群体间并无差异,但在调制任务中,中老年新手的力变异性幅度高于专家,且这两组均高于年轻参与者。在两项任务中以及所有群体中,确定性影响最小时,随机波动最低。然而,尽管所有群体在维持任务中力控制的潜在动态表现相似,但在调制任务中发现了确定性和随机波动的群体效应。后一发现意味着这两个成分都与调制任务中观察到的力波动变异性的群体差异有关。这些发现表明,在不同群体之间,两项任务中动态的一般特征并无差异,并且力的控制受年龄的影响大于专业水平。然而,专业知识似乎抵消了一些年龄效应。随机和确定性动态成分都对力的产生有贡献。力维持和循环力调制任务之间的动态特征不同,但年龄和专业群体之间差异不大。随机和确定性成分的差异都与行为变异性的群体差异相关,并且观察到的行为变异性更多地取决于任务而非个人。