Lefumat Hannah Z, Vercher Jean-Louis, Miall R Chris, Cole Jonathan, Buloup Frank, Bringoux Lionel, Bourdin Christophe, Sarlegna Fabrice R
Aix-Marseille University, Centre National de la Recherche Scientifique, ISM UMR 7287, Marseille, France;
School of Psychology, University of Birmingham, Birmingham, United Kingdom; and.
J Neurophysiol. 2015 Nov;114(5):2764-74. doi: 10.1152/jn.00749.2015. Epub 2015 Sep 2.
Humans can remarkably adapt their motor behavior to novel environmental conditions, yet it remains unclear which factors enable us to transfer what we have learned with one limb to the other. Here we tested the hypothesis that interlimb transfer of sensorimotor adaptation is determined by environmental conditions but also by individual characteristics. We specifically examined the adaptation of unconstrained reaching movements to a novel Coriolis, velocity-dependent force field. Right-handed subjects sat at the center of a rotating platform and performed forward reaching movements with the upper limb toward flashed visual targets in prerotation, per-rotation (i.e., adaptation), and postrotation tests. Here only the dominant arm was used during adaptation and interlimb transfer was assessed by comparing performance of the nondominant arm before and after dominant-arm adaptation. Vision and no-vision conditions did not significantly influence interlimb transfer of trajectory adaptation, which on average was significant but limited. We uncovered a substantial heterogeneity of interlimb transfer across subjects and found that interlimb transfer can be qualitatively and quantitatively predicted for each healthy young individual. A classifier showed that in our study, interlimb transfer could be predicted based on the subject's task performance, most notably motor variability during learning, and his or her laterality quotient. Positive correlations suggested that variability of motor performance and lateralization of arm movement control facilitate interlimb transfer. We further show that these individual characteristics can predict the presence and the magnitude of interlimb transfer of left-handers. Overall, this study suggests that individual characteristics shape the way the nervous system can generalize motor learning.
人类能够显著地使其运动行为适应新的环境条件,但尚不清楚哪些因素使我们能够将用一侧肢体学到的东西转移到另一侧肢体。在这里,我们测试了这样一种假设,即感觉运动适应的肢体间转移不仅由环境条件决定,还由个体特征决定。我们具体研究了无约束伸展运动对一种新的科里奥利力(与速度相关的力场)的适应情况。右利手受试者坐在旋转平台的中心,在上肢旋转前、旋转期间(即适应期)和旋转后测试中,朝着闪烁的视觉目标进行向前伸展运动。在这里,适应过程中仅使用优势手臂,通过比较非优势手臂在优势手臂适应前后的表现来评估肢体间转移。视觉和无视觉条件对轨迹适应的肢体间转移没有显著影响,平均而言,这种转移虽显著但有限。我们发现受试者之间的肢体间转移存在很大的异质性,并发现可以对每个健康的年轻个体的肢体间转移进行定性和定量预测。一个分类器表明,在我们的研究中,可以根据受试者的任务表现,最显著的是学习过程中的运动变异性以及他或她的利手商来预测肢体间转移。正相关表明运动表现的变异性和手臂运动控制的侧化促进了肢体间转移。我们进一步表明,这些个体特征可以预测左利手者肢体间转移的存在和程度。总体而言,这项研究表明个体特征塑造了神经系统进行运动学习泛化的方式。