Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control.

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control.
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DOI:
10.3791/52958
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发表时间:
2015-07
期刊:
Journal of visualized experiments : JoVE
影响因子:
--
通讯作者:
A. Lenartowicz;G. V. Simpson;S. R. O'connell;Mark S. Cohen
A. Lenartowicz;G. V. Simpson;S. R. O'connell;Mark S. Cohen
中科院分区:
其他
文献类型:
--
作者:
A. Lenartowicz;G. V. Simpson;S. R. O'connell;Mark S. Cohen

文献摘要

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注意力控制是选择性地关注某些感觉信号而忽略其他感觉信号的能力。这种能力被认为涉及两个过程:增强要注意的感觉信号和减弱要忽略的感觉信号。注意力调节的整体强度通常是通过比较关注时和忽略时对外部输入的感觉神经反应的幅度来测量的。这种方法对于检测注意力调节来说是稳健的,但排除了评估关注和忽略过程的单独动态的能力。在这里,我们描述了使用联运注意力任务(IMAT)独立测量关注和忽略的神经生理信号的方法。这项任务与脑电图相结合,可以分离出听觉和视觉模式中的神经生理学感觉反应,无论是关注还是忽略,相对于被动控制。因此,可以以任一方式评估参与和忽视的独立动态。我们使用此任务的结果表明,注意和忽略效应的时间和皮质来源不同,它们对注意力调节效应的贡献也不同,指出了独特的神经轨迹并证明了单独测量它们的样本效用。
Attention control is the ability to selectively attend to some sensory signals while ignoring others. This ability is thought to involve two processes: enhancement of sensory signals that are to be attended and the attenuation of sensory signals that are to be ignored. The overall strength of attentional modulation is often measured by comparing the amplitude of a sensory neural response to an external input when attended versus when ignored. This method is robust for detecting attentional modulation, but precludes the ability to assess the separate dynamics of attending and ignoring processes. Here, we describe methodology to measure independently the neurophysiological signals of attending and ignoring using the intermodal attention task (IMAT). This task, when combined with electroencephalography, isolates neurophysiological sensory responses in auditory and visual modalities, when either attending or ignoring, with respect to a passive control. As a result, independent dynamics of attending and of a ignoring can be assessed in either modality. Our results using this task indicate that the timing and cortical sources of attending and ignoring effects differ, as do their contributions to the attention modulation effect, pointing to unique neural trajectories and demonstrating sample utility of measuring them separately.