Toosi Tahereh, K Tousi Ehsan, Esteky Hossein
School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran; and
School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran; and.
J Neurophysiol. 2017 Aug 1;118(2):771-777. doi: 10.1152/jn.00969.2016. Epub 2017 May 17.
Time is an inseparable component of every physical event that we perceive, yet it is not clear how the brain processes time or how the neuronal representation of time affects our perception of events. Here we asked subjects to perform a visual discrimination task while we changed the temporal context in which the stimuli were presented. We collected electroencephalography (EEG) signals in two temporal contexts. In predictable blocks stimuli were presented after a constant delay relative to a visual cue, and in unpredictable blocks stimuli were presented after variable delays relative to the visual cue. Four subsecond delays of 83, 150, 400, and 800 ms were used in the predictable and unpredictable blocks. We observed that predictability modulated the power of prestimulus alpha oscillations in the parieto-occipital sites: alpha power increased in the 300-ms window before stimulus onset in the predictable blocks compared with the unpredictable blocks. This modulation only occurred in the longest delay period, 800 ms, in which predictability also improved the behavioral performance of the subjects. Moreover, learning the temporal context shaped the prestimulus alpha power: modulation of prestimulus alpha power grew during the predictable block and correlated with performance enhancement. These results suggest that the brain is able to learn the subsecond temporal context of stimuli and use this to enhance sensory processing. Furthermore, the neural correlate of this temporal prediction is reflected in the alpha oscillations. It is not well understood how the uncertainty in the timing of an external event affects its processing, particularly at subsecond scales. Here we demonstrate how a predictable timing scheme improves visual processing. We found that learning the predictable scheme gradually shaped the prestimulus alpha power. These findings indicate that the human brain is able to extract implicit subsecond patterns in the temporal context of events.
时间是我们所感知的每一个物理事件中不可分割的组成部分,但目前尚不清楚大脑如何处理时间,以及时间的神经元表征如何影响我们对事件的感知。在这里,我们要求受试者执行一项视觉辨别任务,同时我们改变呈现刺激的时间背景。我们在两种时间背景下收集脑电图(EEG)信号。在可预测的组块中,刺激在相对于视觉提示的恒定延迟后呈现;在不可预测的组块中,刺激在相对于视觉提示的可变延迟后呈现。在可预测和不可预测的组块中使用了83、150、400和800毫秒的四个亚秒级延迟。我们观察到,可预测性调节了顶枕部位刺激前α振荡的功率:与不可预测的组块相比,在可预测的组块中,刺激开始前300毫秒窗口内的α功率增加。这种调节仅发生在最长延迟期800毫秒,在此期间可预测性也提高了受试者的行为表现。此外,学习时间背景塑造了刺激前α功率:刺激前α功率的调节在可预测组块中逐渐增加,并与性能增强相关。这些结果表明,大脑能够学习刺激的亚秒级时间背景,并利用这一点增强感觉处理。此外,这种时间预测的神经关联反映在α振荡中。目前尚不清楚外部事件时间的不确定性如何影响其处理,特别是在亚秒级尺度上。在这里,我们展示了一个可预测的时间方案如何改善视觉处理。我们发现,学习可预测方案逐渐塑造了刺激前α功率。这些发现表明,人类大脑能够在事件的时间背景中提取隐含的亚秒级模式。