Cognitive neuroscience of mental concentration

为了了解精神集中的神经基础，我们开发了一个行为范式，并在冥想期间测量EEG，这是一种流动状态。我们采用了一个功能搜索任务，已知有相对较小的变化，在整个试验的任务难度，并发现反应时间数据的时间序列包含显着的长程时间相关性。冥想期间的EEG数据显示，与休息期间相比，相关性的时间波动减少，而不是增加长范围的时间相关性，这表明冥想使我们的内部状态更加稳定。

To understand the neural basis of mental concentration, we developed a behavior paradigm, and measured EEG during meditation, one type of flow state. We employed a feature search task, known to have relatively small variability in task difficulty across trials, and found that time series of reaction time data contains significant long-range temporal correlation. EEG data during meditation showed that instead of increasing long-range temporal correlation, temporal fluctuation of the correlation is reduced compared with the rest period, suggesting that meditation makes our internal state more stable.