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Critical brain dynamics in the EEG resting state

机译:EEG休息状态的关键脑动力学

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Numerous investigations have evidenced that human brain network may be operated in a critical state. Here we investigated whether the resting brain with eyes-close state was more likely a critical state than eyes-open state by using EEG recording technique and subsequent frequency domain analysis. EEGs of 26 healthy subjects (mean age ± SD 21.54 ± 3.70) during eyes-close and eyes-open state were collected. Then we analyzed the power law distribution of cascades size and duration and calculated the branch parameter of the EEG data in frequency domain. We found the critical exponent of cascade size and cascade duration of eyes-close state were consistently lower than that in the eyes-open state for different time-windows, and the branch parameter showed consistent results. The critical exponents of the distributed avalanche sizes and durations during eyes-close state were observed around -1.5 and -2 respectively for a certain time window, correspondingly, the branch parameter was approached 1. This indicated that the brain activity dynamic of eyes-close state was more likely around criticality, while eyes-open brain dynamics was inclined to a supercritical state.
机译:许多调查证明人脑网络可以在临界状态下运行。在这里,我们通过使用EEG记录技术和随后的频域分析,研究了与眼睛紧密状态的静息大脑是否更可能是临界状态。收集了26个健康受试者的脑电图(平均年龄±SD 21.54±3.70)。然后,我们分析了级联大小和持续时间的电力法分布,并计算了频域中EEG数据的分支参数。我们发现级联大小的临界指数和眼睛的级联持续时间 - 关闭状态始终低于不同时间窗口的眼睛 - 打开状态,并且分支参数显示一致的结果。在一定时间窗口中分别观察到左右眼睛关闭状态的分布式雪崩尺寸和持续时间的临界指数,相应地,接近了分支参数。这表明眼睛的大脑活动动态状态更可能是临界的,而眼睛开放的脑动力学倾向于超临界状态。

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