Effect of pattern awareness on the behavioral and neurophysiological correlates of visual statistical learning.
Effect of pattern awareness on the behavioral and neurophysiological correlates of visual statistical learning.
复制标题
模式意识对视觉统计学习的行为和神经生理学相关性的影响。
DOI：
10.1093/nc/nix020
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发表时间：
2017
影响因子：
4.1
通讯作者：
Conway,ChristopherM
中科院分区：
文献类型：
--
作者：
Singh,Sonia;Daltrozzo,Jerome;Conway,ChristopherM
统计学习是从结构化输入中提取预测模式的能力。一个常见的假设是，统计学习是一种内隐学习，不会导致学习模式的外显意识。然而，也有一些证据表明，统计学习可能在某种程度上涉及外显处理。本研究的目的是探讨图形意识对视觉统计学习的行为和神经生理相关因素的影响。参与者完成视觉学习任务，同时记录行为反应和事件相关电位。在完成任务后，通过由三名独立评分员评分的问卷调查评估了对统计模式的认识。行为研究结果表明，学习只有表现出高模式意识水平的参与者。神经生理学数据表明，只有高模式意识组表现出预期的P300事件相关的潜在学习效果，尽管也有一些迹象表明，低意识组表现出持续的中晚期潜伏期负性。线性混合模型分析证实，只有高意识组显示出学习的神经生理学指标。最后，源估计结果显示左半球激活与统计学习从额叶到枕叶和顶叶区域。进一步的分析表明，左侧海马、左侧海马旁和右侧中央前区在模式意识的基础上表现出不同程度的激活。总之，我们发现，模式意识，与外显处理的维度，强烈影响视觉统计学习的行为和神经生理相关。
Statistical learning is the ability to extract predictive patterns from structured input. A common assumption is that statistical learning is a type of implicit learning that does not result in explicit awareness of learned patterns. However, there is also some evidence that statistical learning may involve explicit processing to some extent. The purpose of this study was to examine the effect of pattern awareness on behavioral and neurophysiological correlates of visual statistical learning. Participants completed a visual learning task while behavioral responses and event-related potentials were recorded. Following the completion of the task, awareness of statistical patterns was assessed through a questionnaire scored by three independent raters. Behavioral findings indicated learning only for participants exhibiting high pattern awareness levels. Neurophysiological data indicated that only the high-pattern awareness group showed expected P300 event-related potential learning effects, although there was also some indication that the low awareness groups showed a sustained mid- to late-latency negativity. Linear mixed-model analyses confirmed that only the high awareness group showed neurophysiological indications of learning. Finally, source estimation results revealed left hemispheric activation was associated with statistical learning extending from frontal to occipital and parietal regions. Further analyses suggested that left insula, left parahippocampal, and right precentral regions showed different levels of activation based on pattern awareness. To conclude, we found that pattern awareness, a dimension associated with explicit processing, strongly influences the behavioral and neurophysiological correlates of visual statistical learning.