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根据明显反应之前的事件相关电位模式预测错误。

Predicting errors from patterns of event-related potentials preceding an overt response.

作者信息

Bode Stefan, Stahl Jutta

机构信息

Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia.

Department of Psychology, University of Cologne, 50969 Cologne, Germany.

出版信息

Biol Psychol. 2014 Dec;103:357-69. doi: 10.1016/j.biopsycho.2014.10.002. Epub 2014 Oct 15.

Abstract

Everyday actions often require fast and efficient error detection and error correction. For this, the brain has to accumulate evidence for errors as soon as it becomes available. This study used multivariate pattern classification techniques for event-related potentials to track the accumulation of error-related brain activity before an overt response was made. Upcoming errors in a digit-flanker task could be predicted after the initiation of an erroneous motor response, ∼90ms before response execution. Channels over motor and parieto-occipital cortices were most important for error prediction, suggesting ongoing perceptual analyses and comparisons of initiated and appropriate motor programmes. Lower response force on error trials as compared to correct trials was observed, which indicates that this early error information was used for attempts to correct for errors before the overt response was made. In summary, our results suggest an early, automatic accumulation of error-related information, providing input for fast correction processes.

摘要

日常行为通常需要快速且高效的错误检测与纠错。为此,大脑必须在错误证据一出现时就对其进行积累。本研究使用与事件相关电位的多变量模式分类技术,来追踪在做出明显反应之前与错误相关的大脑活动的积累情况。在数字侧翼任务中,即将出现的错误在错误的运动反应开始后,即反应执行前约90毫秒就能够被预测。运动皮层和顶枕叶皮层上的通道对于错误预测最为重要,这表明正在进行对已启动和适当运动程序的感知分析与比较。与正确试验相比,在错误试验中观察到较低的反应力,这表明这种早期错误信息在做出明显反应之前就被用于尝试纠错。总之,我们的结果表明与错误相关的信息会早期自动积累,为快速纠错过程提供输入。

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