Sterr Annette, Shen Shan, Kranczioch Cornelia, Szameitat Andre J, Hou Wensheng, Sorger Bettina
Department of Psychology, University of Surrey, Guildford GU2 7XH, UK.
Neurosci Lett. 2009 Jun 26;457(2):61-5. doi: 10.1016/j.neulet.2009.04.013. Epub 2009 Apr 10.
Previous research showed that force control in a visually guided continuous tracking task is influenced by feedback accuracy and force-varying rate. More specifically it was found that higher feedback accuracy and greater force-varying rate led to decreased task performance. Here we studied the neural signature of these effects using functional MRI. We hypothesised that performance costs were due to increased task demand and reflected by increased activations in the visuomotor network. Using the fMRI-BOLD response as an indirect measure of enhanced brain activity we found that the task induced activations in the visuomotor network. The different task conditions thereby modulated the BOLD response such that those conditions with poorest performance showed highest activation levels and vice versa. This indicates a parametric modulation of the BOLD response according to task difficulty and force production. The effects point towards the interdependent and parallel control of visual feedback information and force output rate, which is probably achieved through a joint neural network.
先前的研究表明,视觉引导的连续跟踪任务中的力控制受反馈准确性和力变化率的影响。更具体地说,研究发现较高的反馈准确性和较大的力变化率会导致任务表现下降。在此,我们使用功能磁共振成像研究了这些效应的神经特征。我们假设表现成本是由于任务需求增加所致,并通过视觉运动网络中激活增加得以体现。使用功能磁共振成像血氧水平依赖(fMRI-BOLD)反应作为大脑活动增强的间接指标,我们发现该任务诱发了视觉运动网络的激活。不同的任务条件由此调节了BOLD反应,使得表现最差的条件显示出最高的激活水平,反之亦然。这表明根据任务难度和力产生对BOLD反应进行了参数调制。这些效应表明视觉反馈信息和力输出率的相互依存和平行控制,这可能是通过一个联合神经网络实现的。