@article{1bcabb93d970418d8195c8a5b40bbefb,
title = "Effects of visual complexity and sublexical information in the occipitotemporal cortex in the reading of Chinese phonograms: A single-trial analysis with MEG",
abstract = "We employ a linear mixed-effects model to estimate the effects of visual form and the linguistic properties of Chinese characters on M100 and M170 MEG responses from single-trial data of Chinese and English speakers in a Chinese lexical decision task. Cortically constrained minimum-norm estimation is used to compute the activation of M100 and M170 responses in functionally defined regions of interest. Both Chinese and English participants' M100 responses tend to increase in response to characters with a high numbers of strokes. English participants' M170 responses show a posterior distribution and only reflect the effect of the visual complexity of characters. On the other hand, the Chinese participants' left hemisphere M170 is increased when reading characters with high number of strokes, and their right hemisphere M170 is increased when reading characters with small combinability of semantic radicals. Our results suggest that expertise with words and the decomposition of word forms underlies processing in the left and right occipitotemporal regions in the reading of Chinese characters by Chinese speakers.",
keywords = "Chinese characters, Language experience, M170, Visual word recognition, VWFA",
author = "Hsu, {Chun Hsien} and Lee, {Chia Ying} and Alec Marantz",
note = "Funding Information: This material is based upon work supported by the National Science Foundation under Grant No. 25-91551-F6539. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This work was completed when the first author was a visiting scholar at New York University under support from Taiwan{\textquoteright}s National Science Council (NSC-096-2917-I-010-106). This work was also supported by the Academia Sinica, Taiwan (AS-99-TP-AC1). The authors would like to thank two anonymous reviewers for their comments on this paper, and Gwyneth Lewis for help with testing participants and data analyses. We are grateful to Colin Wilson for suggestions on using the linear mixed-effects model, and to Jonathan Simon for discussions on using the TSPCA algorithms. ",
year = "2011",
month = apr,
doi = "10.1016/j.bandl.2010.10.002",
language = "???core.languages.en_GB???",
volume = "117",
pages = "1--11",
journal = "Brain and Language",
issn = "0093-934X",
number = "1",
}