The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Neural systems of second language reading are shaped by native language
Open accessAbstract
Reading in a second language (L2) is a complex task that entails an interaction between L2 and the native language (L1). To study the underlying mechanisms, we used functional magnetic resonance imaging (fMRI) to visualize Chinese–English bilinguals' brain activity in phonological processing of logographic Chinese and alphabetic English, two written languages with a sharp contrast in phonology and orthography. In Experiment 1, we found that phonological processing of Chinese characters recruits a neural system involving left middle frontal and posterior parietal gyri, cortical regions that are known to contribute to spatial information representation, spatial working memory, and coordination of cognitive resources as a central executive system. We assume that the peak activation of this system is relevant to the unique feature of Chinese that a logographic character has a square configuration that maps onto a monosyllabic unit of speech. Equally important, when our bilingual subjects performed a phonological task on English words, this neural system was most active, whereas brain areas mediating English monolinguals' fine‐grained phonemic analysis, as demonstrated by Experiment 2, were only weakly activated. This suggests that our bilingual subjects were applying their L1 system to L2 reading and that the lack of letter‐to‐sound conversion rules in Chinese led Chinese readers to being less capable of processing English by recourse to an analytic reading system on which English monolinguals rely. Our brain imaging findings lend strongest support to the idea that language experience tunes the cortex. Hum. Brain Mapping 18:158–166, 2003. © 2003 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Distinct cortical areas associated with native and second languages
Kim, K. H. S., Relkin, N. R., Lee, K.-M., & Hirsch, J. (1997) · Nature · doi:10.1038/40623 · Cited by 1,071
A ROWS is a ROSE: Spelling, sound, and reading
van Orden, G. C. (1987) · Memory & Cognition · doi:10.3758/bf03197716 · Cited by 867
Neville, H. J., Bavelier, D., Corina, D., Rauschecker, J., Karni, A., Lalwani, A., Braun, A., Clark, V., Jezzard, P., & Turner, R. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.922 · Cited by 514
The neural substrates underlying word generation: A bilingual functional-imaging study
Klein, D., Milner, B., Zatorre, R. J., Meyer, E., & Evans, A. C. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.7.2899 · Cited by 457
Regional cerebral blood flow during object naming and word reading
Bookheimer, S. Y., Zeffiro, T. A., Blaxton, T., Gaillard, W., & Theodore, W. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030206 · Cited by 410
Cited by
Handbook of Research on Learning and Instruction
(2011) · Routledge eBooks · doi:10.4324/9780203839089 · Cited by 916
Brain potentials reveal unconscious translation during foreign language comprehension
Thierry, G., & Wu, Y. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609927104 · Cited by 728
McAlonan, G. M. (2004) · Brain · doi:10.1093/brain/awh332 · Cited by 491
How native-like is non-native language processing?
Clahsen, H., & Felser, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.10.002 · Cited by 395
Arithmetic processing in the brain shaped by cultures
Tang, Y., Zhang, W., Chen, K., Feng, S., Ji, Y., Shen, J., Reiman, E. M., & Liu, Y. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604416103 · Cited by 311
Metadata
- Authors
- Tan, L. H., Spinks, J. A., Feng, C., Siok, W. T., Perfetti, C. A., Xiong, J., Fox, P. T., & Gao, J.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2003-02-11
- Volume
- 18
- Issue
- 3
- Pages
- 158-166
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W2144402351
- Cited by
- 377
- References
- 5
- FWCI
- 29.12
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Neural systems of second language reading are shaped by native language. https://app.cochat.ai/papers/10.1002/hbm.10089
- The paper
- Tan, L. H., Spinks, J. A., Feng, C., Siok, W. T., Perfetti, C. A., Xiong, J., Fox, P. T., & Gao, J. (2003). Neural systems of second language reading are shaped by native language. Human Brain Mapping. https://doi.org/10.1002/hbm.10089
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.