The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Anatomical variability in the cortical representation of first and second language
Abstract
Functional magnetic resonance imaging was used to assess inter-subject variability in the cortical representation of language comprehension processes. Moderately fluent French-English bilinguals were scanned while they listened to stories in their first language (L1 = French) or in a second language (L2 = English) acquired at school after the age of seven. In all subjects, listening to L1 always activated a similar set of areas in the left temporal lobe, clustered along the left superior temporal sulcus. Listening to L2, however, activated a highly variable network of left and right temporal and frontal areas, sometimes restricted only to right-hemispheric regions. These results support the hypothesis that first language acquisition relies on a dedicated left-hemispheric cerebral network, while late second language acquisition is not necessarily associated with a reproducible biological substrate. The postulated contribution of the right hemisphere to L2 comprehension is found to hold only on average, individual subjects varying from complete right lateralization to standard left lateralization for L2.
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
ASPECTS OF THE THEORY OF SYNTAX
Chomsky, N. (1964) · doi:10.21236/ad0616323 · Cited by 13,587
The neural correlates of the verbal component of working memory
Paulesu, E., Frith, C. D., & Frackowiak, R. S. J. (1993) · Nature · doi:10.1038/362342a0 · Cited by 2,230
Self-citationSeitz, R. J., & Roland, P. E. (1992) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1992.tb00862.x · Cited by 321
Cited by
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Cabeza, R., & Nyberg, L. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137585 · Cited by 3,598
Cohen, L., Dehaene, S., Naccache, L., Lehéricy, S., Dehaene-Lambertz, G., Hénaff, M.-A., & Michel, F. (2000) · Brain · doi:10.1093/brain/123.2.291 · Cited by 1,954
Self-citationHuman temporal lobe activation by speech and nonspeech sounds
Binder, J. R. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.5.512 · Cited by 1,345
Functional neuroimaging of speech perception in infants
Dehaene-Lambertz, G., Dehaene, S., & Hertz-Pannier, L. (2002) · Science · doi:10.1126/science.1077066 · Cited by 1,113
Self-citationThe extended language network: A meta-analysis of neuroimaging studies on text comprehension
Ferstl, E. C., Neumann, J., Bogler, C., & von Cramon, D. Y. (2008) · Human Brain Mapping · doi:10.1002/hbm.20422 · Cited by 703
Age and second language acquisition and processing: A selective overview
Birdsong, D. (2006) · Language Learning · doi:10.1111/j.1467-9922.2006.00353.x · Cited by 544
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
Mapping Infant Brain Myelination with Magnetic Resonance Imaging
Deoni, S. C. L., Mercure, E., Blasi, A., Gasston, D., Thomson, A., Johnson, M., Williams, S. C. R., & Murphy, D. G. M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2106-10.2011 · Cited by 497
Human temporal-lobe response to vocal sounds
Belin, P., Zatorre, R. J., & Ahad, P. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00084-2 · Cited by 452
Functional MR evaluation of temporal and frontal language dominance compared with the Wada test
Lehéricy, S., Cohen, L., Bazin, B., Samson, S., Giacomini, E., Rougetet, R., Hertz-Pannier, L., Le Bihan, D., Marsault, C., & Baulac, M. (2000) · Neurology · doi:10.1212/wnl.54.8.1625 · Cited by 418
Self-citationLate plasticity for language in a child’s non‐dominant hemisphere
Hertz‐Pannier, L., Chiron, C., Jambaqué, I., Renaux‐Kieffer, V., Moortele, P. V. D., Delalande, O., Fohlen, M., Brunelle, F., & Bihan, D. L. (2002) · Brain · doi:10.1093/brain/awf020 · Cited by 315
On the lateralization of emotional prosody: an event-related functional MR investigation
Kotz, S. A., Meyer, M., Alter, K., Besson, M., von Cramon, D. Y., & Friederici, A. D. (2003) · Brain and Language · doi:10.1016/s0093-934x(02)00532-1 · Cited by 300
Beyond superior temporal cortex: Intersubject correlations in narrative speech comprehension
Wilson, S. M., Molnar-Szakacs, I., & Iacoboni, M. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm049 · Cited by 281
An ERP study of second language learning after childhood: effects of proficiency.
Ojima, S., Nakata, H., & Kakigi, R. (2005) · Journal of Cognitive Neuroscience · doi:10.1162/0898929055002436 · Cited by 289
Temporal dynamics of late second language acquisition: evidence from event-related brain potentials
Steinhauer, K., White, E. J., & Drury, J. E. (2009) · Second Language Research · doi:10.1177/0267658308098995 · Cited by 203
Kahng, J. (2014) · Language Learning · doi:10.1111/lang.12084 · Cited by 200
Effects of language experience: neural commitment to language-specific auditory patterns
Zhang, Y., Kuhl, P. K., Imada, T., Kotani, M., & Tohkura, Y. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.040 · Cited by 179
Functional segregation of cortical language areas by sentence repetition
Dehaene‐Lambertz, G., Dehaene, S., Anton, J., Campagne, A., Ciuciu, P., Dehaene, G. P., Denghien, I., Jobert, A., LeBihan, D., Sigman, M., et al. (2006) · Human Brain Mapping · doi:10.1002/hbm.20250 · Cited by 125
Self-citationMartin, C. D., Dering, B., Thomas, E. M., & Thierry, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.025 · Cited by 124
New conceptualizations of linguistic giftedness.
Biedroń, A., & Pawlak, M. (2016) · Language Teaching · doi:10.1017/s0261444815000439 · Cited by 70
The integration of prosodic speech in high functioning autism: a preliminary FMRI study
Hesling, I., Dilharreguy, B., Peppé, S., Amirault, M., Bouvard, M., & Allard, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011571 · Cited by 67
Neurology of foreign language aptitude
Biedroń, A. (2015) · Studies in Second Language Learning and Teaching · doi:10.14746/ssllt.2015.5.1.2 · Cited by 16
Metadata
- Authors
- Dehaene, S., Dupoux, E., Mehler, J., Cohen, L., Paulesu, E., Perani, D., van de Moortele, P.-F., Lehéricy, S., & Le Bihan, D.
- Venue
- NeuroReport
- Published
- 1997-12
- Volume
- 8
- Issue
- 17
- Pages
- 3809-3815
- ISSN
- 0959-4965 (ISSN-L)
- OpenAlex
- W2162024224
- Cited by
- 588
- References
- 3
- FWCI
- 6.93
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.