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Preconscious Prediction of a Driver's Decision Using Intracranial Recordings

机译:使用颅内记录对驾驶员的决策进行前瞻性预测

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摘要

While driving, we make numerous conscious decisions such as route and turn direction selection. Although drivers are held responsible, the neural processes that govern such decisions are not clear. We recorded intracranial EEG signals from six patients engaged in a computer-based driving simulator. Patients decided which way to turn (left/right) and subsequently reported the time of the decision. We show that power modulations of gamma band oscillations (30–100 Hz) preceding the reported time of decision (up to 5.5 sec) allow prediction of decision content with high accuracy (up to 82.4%) on a trial-by-trial basis, irrespective of subsequent motor output. Moreover, these modulations exhibited a spatiotemporal gradient, differentiating left/right decisions earliest in premotor cortices and later in more anterior and lateral regions. Our results suggest a preconscious role for the premotor cortices in early stages of decision-making, which permits foreseeing and perhaps modifying the content of real-life human choices before they are consciously made.
机译:开车时,我们会做出许多有意识的决定,例如路线和转向选择。尽管要对驾驶员负责,但控制此类决策的神经过程尚不清楚。我们记录了来自六名患者的颅内脑电信号,这些患者正在使用基于计算机的驾驶模拟器。患者决定要转弯的方式(向左/向右),然后报告决定时间。我们表明,在报告的决策时间(最长5.5秒)之前,伽马波段振荡的功率调制(30-100 Hz)可以在逐项试验的基础上以较高的准确度(高达82.4%)预测决策内容,不论随后的电机输出如何。此外,这些调制表现出时空梯度,最早区分运动前皮层中的左/右决定,随后区分更多前部和外侧区域。我们的研究结果表明,运动前皮质在决策的早期阶段具有前瞻性作用,从而可以在有意识地做出选择之前就预测和修改现实生活中人类的选择。

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