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Basic Level Advantage and Its Switching during Information Retrieval: An fMRI Study

机译:基本水平优势及其在信息检索过程中的转换:一项功能磁共振成像研究

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摘要

Basic level advantage effect in human cognition suggested there was a more readily accessible cognitive status to the human mind than others during information retrieval, but the phenomenon of advantage effect switching to superordinate level suggested basic level would not always a sufficient way. Processing demands of tasks might explain the discrepancy between basic and superordinate precedence. In this study, we used word-picture matching task and picture-word matching task with same materials to investigate the neural systems of basic level advantage and its switching. Results showed that more activation in the area of fusiform and lingural gyrus in word-picture matching task, suggesting a visual perceptual processing loaded more in this task; while more activation in left inferior frontal gyrus in picture-word matching task, suggesting a semantic memory relied more in this task. These contrast analysis revealed different processing strategies across the two tasks which led to different advantage effect. Furthermore, the inferior parietal lobe played an important role for the advantage effect during information retrieval, with weakest deactivations appeared in the superordinate level in word-picture matching task and in the intermediate level in picture-word matching task, which might served as a control or centralized system to integrate all kinds of cognitive resources.
机译:人类认知中的基本层次优势效应表明,在信息检索过程中,人的大脑比其他人更容易获得认知状态,但是优势效应切换到上级层次的现象提示基本层次并不总是一种足够的方法。任务的处理需求可能解释了基本优先级与上级优先级之间的差异。在这项研究中,我们使用具有相同材料的单词图片匹配任务和图片单词匹配任务来研究基本水平优势及其转换的神经系统。结果表明,在单词图片匹配任务中,在梭形和舌状回区域的激活更多,这表明视觉感知处理在该任务中的负荷更大。图片词匹配任务中左下额回的激活更多,这表明语义记忆在此任务中的依赖性更大。这些对比分析揭示了跨两个任务的不同处理策略,导致了不同的优势效应。此外,下顶叶在信息检索中的优势效应中起着重要的作用,在词图匹配任务中的上级和在图词匹配任务中的中级,最弱的失活表现为控制。或集中式系统来集成各种认知资源。

著录项

  • 来源
    《Brain informatics》|2010年|p.427-436|共10页
  • 会议地点 Toronto(CA);Toronto(CA)
  • 作者单位

    International WIC Institute, Beijing University of Technology, China;

    International WIC Institute, Beijing University of Technology, China;

    International WIC Institute, Beijing University of Technology, China;

    International WIC Institute, Beijing University of Technology, China,Dept. of Psychology, Carnegie Mellon University, USA;

    International WIC Institute, Beijing University of Technology, China;

    International WIC Institute, Beijing University of Technology, China,Dept. of Computer Science, University of Regina, Canada;

    International WIC Institute, Beijing University of Technology, China,Dept. of Life Science and Informatics, Maebashi Institute of Technology, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

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