School of International Police Studies, The People's Public Security University of China, Beijing, China.
Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, USA.
Sci Rep. 2024 Nov 4;14(1):26719. doi: 10.1038/s41598-024-78173-0.
Alpha oscillations are associated with various psychiatric disorders, with many studies focusing on the prefrontal cortex, where transcranial alternating current stimulation (TACS) is applied in the alpha frequency band. This approach often involves selecting individualized alpha frequencies to resonate with their endogenous alpha oscillations. While strong alpha oscillations (8-13 Hz) are typically induced when the eyes are closed, they can also occur during the resting state with eyes open. However, it remains unclear whether these alpha oscillations share a common neural generation mechanism. Exploring which of these alpha oscillations is more suitable as a stable alpha peak frequency is a question of significant interest. Therefore, to systematically study this issue, we specifically collected resting-state electroencephalographic (EEG) data from the prefrontal region of 40 individuals, under both eyes-open and closed- eye conditions, with multiple follow-ups extending up to nine months. Through spectral analysis on each person's entire dataset and averaging the results, we observed a significant positive correlation between the alpha-band power in the eyes-open and the eyes-closed states, in terms of both absolute power and relative power. Further analysis revealed that this correlation was primarily contributed by the periodic activity within the alpha band. Upon modelling the oscillatory components, we discovered distinct differences in the oscillatory characteristics-such as number of the alpha sub-oscillations between the eyes-open state and the eyes-closed state. Our study is the first to systematically explored the relationship between alpha oscillations in the prefrontal cortex in the eyes-open and eyes-closed states, identifying both shared part of the neural generation mechanism and some distinct neural mechanisms that are unique to each state.
阿尔法振荡与各种精神障碍有关，许多研究都集中在前额叶皮层，在那里经颅交流电刺激（TACS）应用于阿尔法频段。这种方法通常涉及选择个体化的阿尔法频率与他们的内源性阿尔法振荡产生共鸣。虽然当眼睛关闭时通常会产生强烈的阿尔法振荡（8-13 Hz），但它们也可以在睁眼的休息状态下发生。然而，目前尚不清楚这些阿尔法振荡是否共享共同的神经产生机制。探索哪些阿尔法振荡更适合作为稳定的阿尔法峰值频率是一个非常有趣的问题。因此，为了系统地研究这个问题，我们专门从 40 个人的前额区域收集了在睁眼和闭眼状态下的静息态脑电图（EEG）数据，随访时间最长可达九个月。通过对每个人的整个数据集进行频谱分析并对结果进行平均，我们观察到在睁眼和闭眼状态下，阿尔法频带功率在绝对功率和相对功率方面都存在显著的正相关。进一步的分析表明，这种相关性主要是由阿尔法频带内的周期性活动引起的。在对振荡成分进行建模后，我们发现，在振荡特征方面，如睁眼状态和闭眼状态之间的阿尔法子振荡数量，存在明显的差异。我们的研究首次系统地探索了前额叶皮层在睁眼和闭眼状态下阿尔法振荡之间的关系，确定了神经产生机制的共享部分和每个状态特有的一些独特的神经机制。
