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首页> 外文期刊>Journal of Cognitive Neuroscience >Spontaneous Entry into an ???Offline??? State during Wakefulness: A Mechanism of Memory Consolidation?
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Spontaneous Entry into an ???Offline??? State during Wakefulness: A Mechanism of Memory Consolidation?

机译:自发进入一个???离线???在清醒期间的状态:内存整合机制?

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Moments of inattention to our surroundings may be essential to optimal cognitive functioning. Here, we investigated the hypothesis that humans spontaneously switch between two opposing attentional states during wakefulness-one in which we attend to the external environment (an "online" state) and one in which we disengage from the sensory environment to focus our attention internally (an "offline" state). We created a data-driven model of this proposed alternation between "online" and "offline" attentional states in humans, on a seconds-level timescale. Participants (n= 34) completed a sustained attention to response task while undergoing simultaneous high-density EEG and pupillometry recording and intermittently reporting on their subjective experience. "Online" and "offline" attentional states were initially defined using a cluster analysis applied to multimodal measures of (1) EEG spectral power, (2) pupil diameter, (3) RT, and (4) self-reported subjective experience. We then developed a classifier that labeled trials as belonging to the online or offline cluster with >95% accuracy, without requiring subjective experience data. This allowed us to classify all 5-sec trials in this manner, despite the fact that subjective experience was probed on only a small minority of trials. We report evidence of statistically discriminable "online" and "offline" states matching the hypothesized characteristics. Furthermore, the offline state strongly predicted memory retention for one of two verbal learning tasks encoded immediately prior. Together, these observations suggest that seconds-timescale alternation between online and offline states is a fundamental feature of wakefulness and that this may serve a memory processing function.
机译:对我们周围环境的注意力不集中可能对最佳认知功能至关重要。在这里,我们调查了人类自发地在两个对立的注意力之间切换的假设 - 我们参加了外部环境(“在线”状态)和我们从感官环境中脱离的人来说,以便在内部关注我们的注意( “离线”状态)。我们在人类的“Online”和“在线”和“离线”注意力状态之间创建了一个数据驱动的模型,在人类中,秒级时间段。参与者(n = 34)在接受同时高密度EEG和瞳孔记录的同时完成对响应任务的持续注意,并间歇地报告其主观经验。最初使用适用于(1)eEG光谱功率,(2)瞳孔直径,(3)RT和(4)自我报告的主观经验的多模式测量的集群分析来定义“在线”注意力状态。然后,我们开发了一个分类器,该分类器将试验标记为属于在线或离线群集,精度> 95%,无需主观体验数据。这让我们可以以这种方式对所有5秒的试验进行分类,尽管只有在少数少数少数次试验中探查了主观经验。我们报告了统计上可歧视的“在线”和“离线”国家匹配假设特征的证据。此外,离线状态强烈预测了在先前编码的两个口头学习任务之一的内存保留。这些观察结果表明,在线和离线状态之间的秒数 - 时间级别是醒来的根本特征,这可以用于存储器处理功能。

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