NDLI: Chinese semantic processing for Japanese in Chinese-Japanese bilinguals: A functional magnetic resonance imaging study

Content Provider	IEEE Xplore Digital Library
Author	Xiujun Li Qi Li Jingjing Yang Qiyong Guo Jinglong Wu
Copyright Year	2014
Description	Author affiliation: Dept. of Radiol., Shengjing Hosp. of China Med. Univ., Shenyang, China (Qiyong Guo) \|\| Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China (Xiujun Li; Qi Li; Jingjing Yang) \|\| Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan (Jinglong Wu)
Abstract	Reading in a second language (L2) is a complex processing that involves an interaction between L2 and the native language (L1). To investigate the fundamental mechanisms, this study used functional magnetic resonance imaging (fMRI) to visualize Japanese-Chinese bilinguals' brain activity in semantic processing of Chinese and Japanese characters. Using fMRI, much knowledge has been gained in understanding how the brain is activated during controlled experiments of language tasks in alphabetic subjects and in logographic language subjects. In this study, we used fMRI to investigate brain activations in processing Japanese semantic and font size by visual judgment tasks in fifteen Japanese subjects. Different activation patterns were observed between semantic and font size judgment processing. We conclude that constellation of neural substrates was different for semantic processing.
Starting Page	1137
Ending Page	1142
File Size	399916
Page Count	6
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6885858
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Educational institutions Visualization Time factors Magnetic resonance imaging Hospitals Biomedical imaging font size fMRI Japanese semantic
Content Type	Text
Resource Type	Article

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