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Resting state neural networks for visual Chinese word processing in Chinese adults and children
Li, Ling1; Liu, Jiangang1; Chen, Feiyan2; Feng, Lu3; Li, Hong4; Tian, Jie1,3,5; Lee, Kang6,7
AbstractThis study examined the resting state neural networks for visual Chinese word processing in Chinese children and adults. Both the functional connectivity (FC) and amplitude of low frequency fluctuation (ALFF) approaches were used to analyze the fMRI data collected when Chinese participants were not engaged in any specific explicit tasks. We correlated time series extracted from the visual word form area (VWFA) with those in other regions in the brain. We also performed ALFF analysis in the resting state FC networks. The FC results revealed that, regarding the functionally connected brain regions, there exist similar intrinsically organized resting state networks for visual Chinese word processing in adults and children, suggesting that such networks may already be functional after 3-4 years of informal exposure to reading plus 3-4 years formal schooling. The ALFF results revealed that children appear to recruit more neural resources than adults in generally reading-irrelevant brain regions. Differences between child and adult ALFF results suggest that children's intrinsic word processing network during the resting state, though similar in functional connectivity, is still undergoing development. Further exposure to visual words and experience with reading are needed for children to develop a mature intrinsic network for word processing. The developmental course of the intrinsically organized word processing network may parallel that of the explicit word processing network. (C) 2013 Elsevier Ltd. All rights reserved.
KeywordResting State Visual Word Form Area Functional Connectivity Amplitude Of Low Frequency Fluctuation Chinese Words Processing
WOS HeadingsScience & Technology ; Social Sciences ; Life Sciences & Biomedicine
Indexed BySCI ; SSCi
WOS Research AreaBehavioral Sciences ; Neurosciences & Neurology ; Psychology
WOS SubjectBehavioral Sciences ; Neurosciences ; Psychology, Experimental
WOS IDWOS:000321938800022
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Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorTian, Jie
Affiliation1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
2.Zhejiang Univ, Dept Phys, Bio X Lab, Hangzhou 310058, Zhejiang, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
4.Liaoning Normal Univ, Dalian 116029, Peoples R China
5.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China
6.Univ Toronto, Inst Child Study, Toronto, ON, Canada
7.Univ Calif San Diego, Dept Psychol, La Jolla, CA 92093 USA
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li, Ling,Liu, Jiangang,Chen, Feiyan,et al. Resting state neural networks for visual Chinese word processing in Chinese adults and children[J]. NEUROPSYCHOLOGIA,2013,51(8):1571-1583.
APA Li, Ling.,Liu, Jiangang.,Chen, Feiyan.,Feng, Lu.,Li, Hong.,...&Lee, Kang.(2013).Resting state neural networks for visual Chinese word processing in Chinese adults and children.NEUROPSYCHOLOGIA,51(8),1571-1583.
MLA Li, Ling,et al."Resting state neural networks for visual Chinese word processing in Chinese adults and children".NEUROPSYCHOLOGIA 51.8(2013):1571-1583.
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