Decoding and Reconstructing the Focus of Spatial Attention from the Topography of Alpha-band Oscillations.

Decoding and Reconstructing the Focus of Spatial Attention from the Topography of Alpha-band Oscillations.
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DOI:
10.1162/jocn_a_00955
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发表时间:
2016-08
影响因子:
3.2
通讯作者:
Postle BR
Postle BR
中科院分区:
医学3区
文献类型:
--
作者:
Samaha J;Sprague TC;Postle BR

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感知和认知的许多方面都受到神经群体中的活动的支持,这些神经群体被调谐到不同的刺激特征(例如,方向、空间位置、颜色)。目标导向的行为,如持续的注意力,需要一种机制,用于选择性地优先考虑上下文适当的表示。持续空间注意力的一个候选机制是α波段(8-13 Hz)的神经活动,其在人类EEG中的功率与内隐注意力的焦点相关。在这里,我们应用了一个反向编码模型,以评估是否空间选择性神经反应可以恢复从地形的α-波段振荡在空间注意。参与者被提示秘密地注意围绕注视同心排列的六个空间位置之一,同时记录EEG。一个线性分类器应用于持续关注过程中的EEG数据表现出成功的分类参加的位置从地形的α功率,虽然不是从其他频带。接下来,我们试图通过将反向编码模型应用于阿尔法功率和相位的地形来重建空间注意力随时间的焦点。阿尔法功率,但不是相位,允许强大的重建的具体出席的位置开始约450毫秒postcue,发病早于以前的报告。这些结果表明,后α-波段振荡可以用来跟踪活动的特征选择性神经种群的高时间精度在部署的隐蔽空间注意。
Many aspects of perception and cognition are supported by activity in neural populations that are tuned to different stimulus features (e.g., orientation, spatial location, color). Goal-directed behavior, such as sustained attention, requires a mechanism for the selective prioritization of contextually appropriate representations. A candidate mechanism of sustained spatial attention is neural activity in the alpha band (8–13 Hz), whose power in the human EEG covaries with the focus of covert attention. Here, we applied an inverted encoding model to assess whether spatially selective neural responses could be recovered from the topography of alpha-band oscillations during spatial attention. Participants were cued to covertly attend to one of six spatial locations arranged concentrically around fixation while EEG was recorded. A linear classifier applied to EEG data during sustained attention demonstrated successful classification of the attended location from the topography of alpha power, although not from other frequency bands. We next sought to reconstruct the focus of spatial attention over time by applying inverted encoding models to the topography of alpha power and phase. Alpha power, but not phase, allowed for robust reconstructions of the specific attended location beginning around 450 msec postcue, an onset earlier than previous reports. These results demonstrate that posterior alpha-band oscillations can be used to track activity in feature-selective neural populations with high temporal precision during the deployment of covert spatial attention.
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