Conference proceeding
Brain response in the processing of Chinese characters: an event-related fMRI study
Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), Vol.3, pp.2020-2024 vol.3
2000
DOI: 10.1109/IEMBS.2000.900518
Abstract
Due to the entirely different surface form of the writing system and the large population of native speakers, Chinese (Mandarin) processing has evoked broad interest in the field of language study. Recently, fMRI with blocked design has been used in the mapping of Chinese language processing. Comparing to blocked task design, event-related task design takes the advantages of the high temporal resolution of fMRI and provides greater experimental flexibility in task design. In this study, we examine event-related fMRI (ER-fMRI) response in the processing of Chinese characters. Experiments were performed on a 1.9 T MRI scanner, with six subjects. A gradient-echo EPI sequence was used. Ten axial slices were acquired. A single Chinese character was used for each stimulus. The subjects were asked to perform a word generation task. In all the subjects, strong activation was detected in left middle to inferior prefrontal gyri. Highly left hemisphere dominance of the activation in prefrontal cortex was observed in all the subjects, with the locations in well agreement with the previous studies using blocked design. Percent maximum BOLD signal change was 1.45/spl plusmn/0.14%, averaged across the six subjects. Time-to-peak was 7.72/spl plusmn/0.31 sec, and FWHM was 5.99/spl plusmn/0.43 sec. In this study, we demonstrated that ER-fMRI signal change can be reliably detected in single subject, with response to repeated single trials of Chinese character processing. Based on this result, more sophisticated paradigm designs can be utilized in the future study of Chinese language.
Details
- Title: Subtitle
- Brain response in the processing of Chinese characters: an event-related fMRI study
- Creators
- H.L. Liu - The University of Texas Health Science Center at San AntonioY. Pu - The University of Texas Health Science Center at San AntonioC.M. FengL.H. Tan - The University of Texas Health Science Center at San AntonioJ.A. Spinks - The University of Texas Health Science Center at San AntonioC.A. Perfetti - The University of Texas Health Science Center at San AntonioJ. Xiong - The University of Texas Health Science Center at San AntonioP.T. FoxJ.-H. Gao - The University of Texas Health Science Center at San Antonio
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), Vol.3, pp.2020-2024 vol.3
- Publisher
- IEEE
- DOI
- 10.1109/IEMBS.2000.900518
- ISSN
- 1094-687X
- eISSN
- 1558-4615
- Language
- English
- Date published
- 2000
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984383306002771
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