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Dynamic spatiotemporal brain analyses of the visual checkerboard task: Similarities and differences between passive and active viewing conditions

机译:视觉棋盘任务的动态时空大脑分析:被动和主动观看条件之间的异同

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摘要

We introduce a new analytic technique for the microsegmentation of high-density EEG to identify the discrete brain microstates evoked by the visual reversal checkerboard task. To test the sensitivity of the present analytic approach to differences in evoked brain microstates across experimental conditions, subjects were instructed to (a) passively view the reversals of the checkerboard (passive viewing condition), or (b) actively search for a target stimulus that may appear at the fixation point, and they were offered a monetary reward if they correctly detected the stimulus (active viewing condition). Results revealed that, within the first 168 ms of a checkerboard presentation, the same four brain microstates were evoked in the passive and active viewing conditions, whereas the brain microstates evoked after 168 ms differed between these two conditions, with more brain microstates elicited in the active than in the passive viewing condition. Additionally, distinctions were found in the active condition between a change in a scalp configuration that reflects a change in microstate and a change in scalp configuration that reflects a change in the level of activation of the same microstate. Finally, the bootstrapping procedure identified that two microstates lacked robustness even though statistical significance thresholds were met, suggesting these microstates should be replicated prior to placing weight on their generalizability across individuals. These results illustrate the utility of the analytic approach and provide new information about the spatiotemporal dynamics of the brain states underlying passive and active viewing in the visual checkerboard task.
机译:我们引入了一种新的分析技术,用于高密度脑电图的微细分,以识别视觉反转棋盘任务引起的离散脑微状态。为了测试本分析方法对不同实验条件下诱发的大脑微状态差异的敏感性,指示受试者(a)被动查看棋盘的反转(被动观看条件),或(b)主动寻找目标刺激可能会出现在注视点,并且如果他们正确检测到刺激(主动观看条件),就会获得金钱奖励。结果显示,在棋盘显示的前168毫秒内,在被动和主动观看条件下会诱发相同的四个大脑微状态,而在168毫秒后所引起的脑微状态在这两种情况下有所不同,在这种情况下会引发更多的脑微状态。主动模式比被动观看条件下的主动模式好。另外,在活动状态中发现了反映微状态变化的头皮构型变化与反映相同微状态的激活水平变化的头皮构型变化之间的区别。最后,自举程序确定了即使满足统计显着性阈值,两个微状态也都缺乏鲁棒性,这表明在对它们进行概括之前,应先复制这些微状态。这些结果说明了分析方法的实用性,并提供了有关视觉棋盘任务中被动和主动观看基础的大脑状态时空动态的新信息。

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