Oscillatory phase modulates the timing of neuronal activations and resulting behavior.
Oscillatory phase modulates the timing of neuronal activations and resulting behavior.
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DOI：
10.1016/j.neuroimage.2016.02.080
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发表时间：
2016-06
期刊：
影响因子：
5.7
通讯作者：
Schalk G
中科院分区：
文献类型：
--
作者：
Coon WG;Gunduz A;Brunner P;Ritaccio AL;Pesaran B;Schalk G
人类的行为反应时间是高度可变的，从试验到试验。虽然人们普遍认为，行为变异性一定是由于大脑功能的一次又一次试验的变化，但在很大程度上仍然不知道当神经活动通过神经元群体网络时，哪些生理机制支配神经活动的时间，以及神经活动时间的变化如何与行为时间的变化相关。在我们的研究中，我们将皮层表面的记录提交给新的分析技术，以在单次试验中绘制整个人类皮层的神经元群体活动的轨迹，并发现这种活动的时间和随后的行为由α波段（8-12 Hz）的神经元振荡的联合调制。具体来说，我们建立了人口活动的发病往往发生在振荡活动的低谷，并从这个优选的关系的偏差与人口活动的时间和由此产生的行为反应的速度的变化。这些结果表明，神经元的活动招致可变的延迟，因为它在神经元群体传播，并且每个延迟的持续时间是振荡活动的瞬时相位的函数。我们的结论是，本文中提出的结果是强烈支持一个通用模型的变化在人脑中的信息传输的有效速度和人类行为的时间的变化。
Human behavioral response timing is highly variable from trial to trial. While it is generally understood that behavioral variability must be due to trial-by-trial variations in brain function, it is still largely unknown which physiological mechanisms govern the timing of neural activity as it travels through networks of neuronal populations, and how variations in the timing of neural activity relate to variations in the timing of behavior. In our study, we submitted recordings from the cortical surface to novel analytic techniques to chart the trajectory of neuronal population activity across the human cortex in single trials, and found joint modulation of the timing of this activity and of consequent behavior by neuronal oscillations in the alpha band (8–12 Hz). Specifically, we established that the onset of population activity tends to occur during the trough of oscillatory activity, and that deviations from this preferred relationship are related to changes in the timing of population activity and the speed of the resulting behavioral response. These results indicate that neuronal activity incurs variable delays as it propagates across neuronal populations, and that the duration of each delay is a function of the instantaneous phase of oscillatory activity. We conclude that the results presented in this paper are strongly supportive of a general model for variability in the effective speed of information transmission in the human brain and for variability in the timing of human behavior.