School of Kinesiology, The University of Western Ontario, London, ON, N6A 3K7, Canada.
Exp Brain Res. 2010 Apr;202(1):55-64. doi: 10.1007/s00221-009-2111-z. Epub 2009 Dec 12.
Recent work by our group reported that mirror-symmetrical reaching movements (i.e., antipointing) are supported by perception-based visual information (Heath et al. 2009a). The present study was designed to determine if the perception-based visual information supporting antipointing results in a primarily offline mode of control; that is, a mode of control wherein the response unfolds with few-if any-online limb corrections. Participants reached directly to (propointing) or mirror-symmetrical (antipointing) to targets presented in the left and right visual fields. To examine the extent reaches were controlled online versus offline, we computed the proportion of variance (R (2)) explained by the position of the limb at 75% of movement time relative to the response's ultimate movement endpoint. The endpoints for propointing in left and right visual fields demonstrated robust endpoint accuracy and stability and were tied to low R (2) values. In contrast, antipointing elicited a marked degree of endpoint variability and were characterized by a visual-field specific pattern of endpoint bias. Moreover, the R (2) values for antipointing were more robust than propointing counterparts. Therefore, we propose that the metrical visual information supporting stimulus-driven propointing results in a primarily online mode of control whereas the relative nature of the perception-based visual information supporting antipointing results in an offline mode of control. More directly, we propose that the offline control of antipointing is attributed to the "slow" cognitive processing of visuoperceptual networks.
我们小组最近的研究报告表明,镜像对称的伸手运动(即反向指向)是基于感知的视觉信息支持的(Heath 等人,2009a)。本研究旨在确定支持反向指向的基于感知的视觉信息是否导致主要的离线控制模式;也就是说,一种控制模式,其中响应在很少(如果有的话)在线肢体校正的情况下展开。参与者直接伸向(正向指向)或镜像对称(反向指向)呈现于左、右视野的目标。为了检查伸展运动在线控制与离线控制的程度,我们计算了肢体位置在运动时间的 75%处相对于响应最终运动终点的方差(R (2))解释的比例。左、右视野中正向指向的端点表现出很强的端点准确性和稳定性,与低 R (2)值有关。相比之下,反向指向引起了显著的端点可变性,并表现出特定于视野的端点偏差模式。此外,反向指向的 R (2)值比正向指向的对应值更稳健。因此,我们提出支持刺激驱动的正向指向的度量视觉信息导致主要的在线控制模式,而支持反向指向的基于感知的相对视觉信息导致离线控制模式。更直接地说,我们提出反向指向的离线控制归因于视觉感知网络的“缓慢”认知处理。