Automaticity in the reading circuitry

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Sung Jun Joo , Kambiz Tavabi , Sendy Caffarra , Jason D. Yeatman
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引用次数: 9

Abstract

Skilled reading requires years of practice associating visual symbols with speech sounds. Over the course of the learning process, this association becomes effortless and automatic. Here we test whether automatic activation of spoken-language circuits in response to visual words is a hallmark of skilled reading. Magnetoencephalography was used to measure word-selective responses under multiple cognitive tasks (N = 42, 7–12 years of age). Even when attention was drawn away from the words by performing an attention-demanding fixation task, strong word-selective responses were found in a language region (i.e., superior temporal gyrus) starting at ~300 ms after stimulus onset. Critically, this automatic word-selective response was indicative of reading skill: the magnitude of word-selective responses correlated with individual reading skill. Our results suggest that automatic recruitment of spoken-language circuits is a hallmark of skilled reading; with practice, reading becomes effortless as the brain learns to automatically translate letters into sounds and meaning.

自动阅读电路
熟练的阅读需要多年将视觉符号与语音联系起来的练习。在学习过程中,这种联系变得毫不费力和自动。在这里,我们测试了对视觉词汇的自动激活的口语回路是否是熟练阅读的标志。采用脑磁图技术测量受试者在多种认知任务下的词选择反应(N = 42, 7-12岁)。即使通过执行需要注意的固定任务将注意力从单词上转移,在刺激开始后约300毫秒,在语言区域(即颞上回)发现强烈的单词选择反应。重要的是,这种自动选词反应表明了阅读技能:选词反应的大小与个人阅读技能相关。我们的研究结果表明,口语回路的自动补充是熟练阅读的标志;通过练习,阅读变得毫不费力,因为大脑学会了自动将字母翻译成声音和意思。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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