首页> 美国卫生研究院文献>The Journal of Neuroscience >Does the Processing of Sensory and Reward-Prediction Errors Involve Common Neural Resources? Evidence from a Frontocentral Negative Potential Modulated by Movement Execution Errors
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Does the Processing of Sensory and Reward-Prediction Errors Involve Common Neural Resources? Evidence from a Frontocentral Negative Potential Modulated by Movement Execution Errors

机译:感觉和奖励预测错误的处理是否涉及共同的神经资源?运动执行误差调制的额中央负电位的证据

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摘要

In humans, electrophysiological correlates of error processing have been extensively investigated in relation to decision-making theories. In particular, error-related ERPs have been most often studied using response selection tasks. In these tasks, involving very simple motor responses (e.g., button press), errors concern inappropriate action-selection only. However, EEG activity in relation to inaccurate movement-execution in more complex motor tasks has been much less examined. In the present study, we recorded EEG while volunteers performed reaching movements in a force-field created by a robotic device. Hand-path deviations were induced by interspersing catch trials in which the force condition was unpredictably altered. Our goal was twofold. First, we wanted to determine whether a frontocentral ERP was elicited by sensory-prediction errors, whose amplitude reflected the size of kinematic errors. Then, we explored whether common neural processes could be involved in the generation of this ERP and the feedback-related negativity (FRN), often assumed to reflect reward-prediction errors. We identified a frontocentral negativity whose amplitude was modulated by the size of the hand-path deviations induced by the unpredictable mechanical perturbations. This kinematic error-related ERP presented great similarities in terms of time course, topography, and potential source-location with the FRN recorded in the same experiment. These findings suggest that the processing of sensory-prediction errors and the processing of reward-prediction errors could involve a shared neural network.
机译:在人类中,与决策理论有关的错误处理的电生理相关性已得到广泛研究。特别是,与错误相关的ERPs最常使用响应选择任务进行研究。在这些涉及非常简单的运动响应(例如按下按钮)的任务中,错误仅涉及不适当的动作选择。然而,在更复杂的运动任务中,与不准确的运动执行有关的脑电图活动已很少得到研究。在本研究中,我们记录了脑电图,而志愿者则在由机器人设备产生的力场中执行了到达动作。散布的抓捕试验导致了手径偏差,在这种情况下,力的状况发生了不可预测的变化。我们的目标是双重的。首先,我们想确定是否由感觉预测误差引起了额中ERP,感觉预测误差的幅度反映了运动学误差的大小。然后,我们探讨了通常的神经过程是否可以参与此ERP的生成以及与反馈相关的负性(FRN),通常认为它们反映了奖励预测错误。我们确定了额中央负电性,其幅度受不可预测的机械扰动引起的手路径偏差大小的调节。这种与运动错误相关的ERP在时间过程,地形和潜在源位置方面与同一实验中记录的FRN表现出极大的相似性。这些发现表明,感官预测错误的处理和奖励预测错误的处理可能涉及共享的神经网络。

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