The unique role of the EEG alpha rhythm in different states of cortical activity is still debated. The main theories regarding alpha function posit either sensory processing or attention allocation as the main processes governing its modulation. Closing and opening eyes, a well-known manipulation of the alpha rhythm, could be regarded as attention allocation from inward to outward focus though during light is also accompanied by visual change. To disentangle the effects of attention allocation and sensory visual input on alpha modulation, 14 healthy subjects were asked to open and close their eyes during conditions of light and of complete darkness while simultaneous recordings of EEG and fMRI were acquired. Thus, during complete darkness the eyes-open condition is not related to visual input but only to attention allocation, allowing direct examination of its role in alpha modulation. A data-driven ridge regression classifier was applied to the EEG data in order to ascertain the contribution of the alpha rhythm to eyes-open/eyes-closed inference in both lighting conditions. Classifier results revealed significant alpha contribution during both light and dark conditions, suggesting that alpha rhythm modulation is closely linked to the change in the direction of attention regardless of the presence of visual sensory input. Furthermore, fMRI activation maps derived from an alpha modulation time-course during the complete darkness condition exhibited a right frontal cortical network associated with attention allocation. These findings support the importance of top-down processes such as attention allocation to alpha rhythm modulation, possibly as a prerequisite to its known bottom-up processing of sensory input.

译文

:大脑皮层活动的不同状态中的脑电图阿尔法节律的独特作用仍在争论中。有关阿尔法功能的主要理论将感觉处理或注意力分配作为控制其调制的主要过程。闭眼和睁眼是一种众所周知的阿尔法节奏控制方法,尽管在光照过程中还伴随着视觉变化,但可以将其视为从内到外的注意力分配。为了弄清注意力分配和感觉视觉输入对alpha调制的影响,要求14名健康受试者在明亮和完全黑暗的条件下睁开并闭上眼睛,同时获取EEG和fMRI的同步记录。因此,在完全黑暗的情况下,睁开眼睛的条件与视觉输入无关,而仅与注意力分配有关,从而可以直接检查其在alpha调制中的作用。将数据驱动的岭回归分类器应用于EEG数据,以确定在两种光照条件下阿尔法节律对睁眼/闭眼推断的贡献。分类器的结果表明,在明亮和黑暗条件下,阿尔法贡献都很大,这表明阿尔法节奏调节与注意力方向的变化紧密相关,而与视觉感官输入无关。此外,在完全黑暗的条件下,从α调制时程导出的fMRI激活图显示了与注意力分配相关的右额叶皮层网络。这些发现支持自上而下的过程的重要性,例如将注意力分配到阿尔法节奏调节上,这可能是其已知的自下而上的感觉输入处理的先决条件。

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