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Neural Correlates of Quantity Processing of Numeral Classifiers

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机构: [1]Siegler Center for Innovative Learning, National Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University, Beijing, China [2]Department of Psychology and Social Behavior, University of California,Irvine [3]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing China [4]Siegler Center for Innovative Learning, National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University
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关键词: numerical processing functional MRI intraparietal sulcus numeral classifiers

摘要:
Objective: Classifiers play an important role in describing the quantity information of objects. Few studies have been conducted to investigate the brain organization for quantity processing of classifiers. In the current study, we investigated whether activation of numeral classifiers was specific to the bilateral inferior parietal areas, which are believed to process numerical magnitude. Method: Using functional MRI, we explored the neural correlates of numeral classifiers, as compared with those of numbers, dot arrays, and nonquantity words (i.e., tool nouns). Results: Our results showed that numeral classifiers and tool nouns elicited greater activation in the left inferior frontal lobule and left middle temporal gyms than did numbers and dot arrays, but numbers and dot arrays had greater activation in the middle frontal gyms, precuneus, and the superior and inferior parietal lobule in the right hemisphere. No differences were found between numeral classifiers and tool nouns. Conclusion: The results suggest that quantity processing of numeral classifiers is independent of that of numbers and dot arrays, supporting the notation-dependent hypothesis of quantity processing.

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出版当年[2012]版:
大类 | 3 区 医学
小类 | 3 区 神经科学 3 区 心理学
最新[2023]版:
大类 | 3 区 心理学
小类 | 3 区 心理学 4 区 神经科学 4 区 心理学:临床
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出版当年[2011]版:
Q1 PSYCHOLOGY Q1 PSYCHOLOGY, CLINICAL Q2 NEUROSCIENCES
最新[2023]版:
Q2 PSYCHOLOGY Q2 PSYCHOLOGY, CLINICAL Q3 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2011版] 出版当年五年平均 出版前一年[2010版] 出版后一年[2012版]

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第一作者机构: [1]Siegler Center for Innovative Learning, National Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University, Beijing, China
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通讯机构: [*1]Siegler Center for Innovative Learning, National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
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