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Spontaneous Alpha Power Lateralization Predicts Detection Performance in an Un-Cued Signal Detection Task

机译:自发的Alpha功率横向化可预测无提示信号检测任务中的检测性能

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摘要

Focusing one’s attention by external guiding stimuli towards a specific area of the visual field produces systematical neural signatures. One of the most robust is the change in topological distribution of oscillatory alpha band activity across parieto-occipital cortices. In particular, decreases in alpha activity over contralateral and/or increases over ipsilateral scalp sites, respect to the side of the visual field where attention was focused. This evidence comes mainly from experiments where an explicit cue informs subjects where to focus their attention, thus facilitating detection of an upcoming target stimulus. However, recent theoretical models of attention have highlighted a stochastic or non-deterministic component related to visuospatial attentional allocation. In an attempt to evidence this component, here we analyzed alpha activity in a signal detection paradigm in the lack of informative cues; in the absence of preceding information about the location (and time) of appearance of target stimuli. We believe that the unpredictability of this situation could be beneficial for unveiling this component. Interestingly, although total alpha power did not differ between Seen and Unseen conditions, we found a significant lateralization of alpha activity over parieto-occipital electrodes, which predicted behavioral performance. This effect had a smaller magnitude compared to paradigms in which attention is externally guided (cued). However we believe that further characterization of this spontaneous component of attention is of great importance in the study of visuospatial attentional dynamics. These results support the presence of a spontaneous component of visuospatial attentional allocation and they advance pre-stimulus alpha-band lateralization as one of its neural signatures.
机译:通过外部引导刺激将注意力集中到视野的特定区域,可以产生系统的神经信号。最健壮的方法之一是跨顶枕皮层的振荡α带活动的拓扑分布变化。特别是,相对于注意力集中的视野侧,对侧的alpha活性降低和/或与同侧的头皮相对升高。这些证据主要来自实验,在实验中,明确的提示会告知受试者应将注意力集中在哪里,从而有助于检测即将到来的目标刺激。但是,最近的注意力理论模型强调了与视觉空间注意力分配有关的随机或不确定因素。为了证明这一成分,我们在缺乏信息提示的情况下分析了信号检测范式中的α活性。在没有关于目标刺激出现的位置(和时间)的先前信息的情况下。我们认为,这种情况的不可预测性可能有助于揭露此组件。有趣的是,尽管总的α功率在可见和未见条件之间没有差异,但我们发现顶枕电极上的α活性显着侧向化,从而预测了行为表现。与从外部引导(提示)注意力的范例相比,这种影响的幅度较小。但是,我们认为,注意力的这种自发组成部分的进一步表征在视觉空间注意力动力学的研究中非常重要。这些结果支持视觉空间注意力分配的自发成分的存在,并且它们将刺激前的α波段侧向化作为其神经信号之一进行推进。

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