Gopal Atul, Jana Sumitash, Murthy Aditya
National Brain Research Centre, Nainwal More, Manesar, Haryana, India; and.
Centre for Neuroscience, Indian Institute of Science, Bangalore, Karnataka, India.
J Neurophysiol. 2017 Sep 1;118(3):1664-1676. doi: 10.1152/jn.00329.2017. Epub 2017 Jul 5.
In contrast to hand movements, the existence of a neural representation of saccade kinematics is unclear. Saccade kinematics is typically thought to be specified by motor error/desired displacement and generated by brain stem circuits that are not penetrable to voluntary control. We studied the influence of instructed hand movement velocity on the kinematics of saccades executed without explicit instructions. When the hand movement was slow the saccade velocity decreased, independent of saccade amplitude. We leveraged this modulation of saccade velocity to study the optimality of saccades (in terms of velocity and endpoint accuracy) in relation to the well-known speed-accuracy tradeoff that governs voluntary movements (Fitts' law). In contrast to hand movements that obeyed Fitts' law, normometric saccades exhibited the greatest endpoint accuracy and lower reaction times, relative to saccades accompanying slow and fast hand movements. In the slow condition, where saccade endpoint accuracy suffered, we observed that targets were more likely to be foveated by two saccades resulting in step-saccades. Interestingly, the endpoint accuracy was higher in two-saccade trials, compared with one-saccade trials in both the slow and fast conditions. This indicates that step-saccades are a part of the kinematic plan for optimal control of endpoint accuracy. Taken together, these findings suggest normometric saccades are already optimized to maximize endpoint accuracy and the modulation of saccade velocity by hand velocity is likely to reflect the sharing of kinematic plans between the two effectors. The optimality of saccade kinematics has been suggested by modeling studies but experimental evidence is lacking. However, we observed that, when subjects voluntarily modulated their hand velocity, the velocity of saccades accompanying these hand movements was also modulated, suggesting a shared kinematic plan for eye and hand movements. We leveraged this modulation to show that saccades had less endpoint accuracy when their velocity decreased, illustrating that normometric saccades have optimal speed and accuracy.
与手部运动不同,扫视运动学的神经表征是否存在尚不清楚。扫视运动学通常被认为是由运动误差/期望位移所指定,并由脑干回路产生,而这些回路不受自主控制的影响。我们研究了指示的手部运动速度对在没有明确指示的情况下执行的扫视运动学的影响。当手部运动缓慢时,扫视速度会降低,且与扫视幅度无关。我们利用这种扫视速度的调制来研究扫视运动(在速度和终点精度方面)相对于支配自主运动的著名速度-精度权衡(菲茨定律)的最优性。与遵循菲茨定律的手部运动不同,标准扫视相对于伴随缓慢和快速手部运动的扫视,表现出最高的终点精度和更短的反应时间。在缓慢条件下,扫视终点精度受到影响,我们观察到目标更有可能通过两次扫视被中央凹注视,从而导致阶梯式扫视。有趣的是,在缓慢和快速条件下,两次扫视试验中的终点精度均高于单次扫视试验。这表明阶梯式扫视是最优控制终点精度的运动学计划的一部分。综上所述,这些发现表明标准扫视已经被优化以最大化终点精度,并且手部速度对扫视速度的调制可能反映了这两种效应器之间运动学计划的共享。建模研究已经提出了扫视运动学的最优性,但缺乏实验证据。然而,我们观察到,当受试者自主调节手部速度时,伴随这些手部运动的扫视速度也会受到调制,这表明眼动和手动存在共享的运动学计划。我们利用这种调制来表明,当扫视速度降低时,其终点精度会降低,这说明标准扫视具有最优的速度和精度。