The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Language-Associated Cortical Regions Are Proportionally Larger in the Female Brain
Abstract
BACKGROUND: Many studies have demonstrated significant sexual dimorphism in verbal ability. However, few studies have examined anatomical differences between the sexes that may underlie such dimorphism. OBJECTIVE: To examine sex differences in the absolute and proportional volumes of the main language-associated regions of the cerebral cortex. DESIGN AND MAIN OUTCOME MEASURES: Control neuropathological case series of consecutive autopsies from a teaching hospital. No significant age-related volume changes were identified in the sample. Two language-associated cortical regions, the superior temporal gyrus (part of the Wernicke area) and its subdivisions (planum temporale, Heschl gyrus, and anterior superior temporal gyrus) and the inferior frontal gyrus (Broca area in the dominant hemisphere), and a non-language-associated region, the frontal pole, were measured using stereological techniques in brains fixed with formaldehyde solution serially sectioned at 3-mm intervals. Volume comparisons between the sexes and between brain hemispheres were performed using 2-way analysis of variance. SETTING: Studies were conducted at the University of Sydney and the Prince of Wales Medical Research Institute, Sydney, Australia. PATIENTS: Ten males and 11 females free from neurologic or neuropathological abnormalities. RESULTS: The volume of the superior temporal cortex, expressed as a proportion of total cerebral volume, was significantly larger in females compared with males (17.8% increase; P = .04). This was accounted for by 1 section of the superior temporal cortex, the planum temporale, which was 29.8% larger in females (P = .04). In addition, the cortical volume fraction of the Broca area in females was 20.4% larger than in males (P = .05). In contrast, no significant differences were found in the proportional volume of the frontal pole or in regional volumes between the left and right hemispheres in either sex group. CONCLUSIONS: Our results suggest that females have proportionally larger Wernicke and Broca language-associated regions compared with males. These anatomical differences may correlate with superior language skills previously demonstrated in females.
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
Large-scale neurocognitive networks and distributed processing for attention, language, and memory
Mesulam, M. (1990) · Annals of Neurology · doi:10.1002/ana.410280502 · Cited by 2,684
Cited by
Gur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04065.1999 · Cited by 909
Sex differences in schizophrenia
Abel, K. M., Drake, R., & Goldstein, J. M. (2010) · International Review of Psychiatry · doi:10.3109/09540261.2010.515205 · Cited by 762
Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., Xu, D., Zhu, H., Thompson, P. M., & Toga, A. W. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl066 · Cited by 695
Brain anomalies in children exposed prenatally to a common organophosphate pesticide
Rauh, V. A., Perera, F. P., Horton, M. K., Whyatt, R. M., Bansal, R., Hao, X., Liu, J., Barr, D. B., Slotkin, T. A., & Peterson, B. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1203396109 · Cited by 470
Nopoulos, P., Flaum, M., O’Leary, D., & Andreasen, N. C. (2000) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(99)00044-x · Cited by 303
Metadata
- Authors
- Harasty, J., Double, K. L., Halliday, G. M., Kril, J. J., & McRitchie, D. A.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 1997-02-01
- Volume
- 54
- Issue
- 2
- Pages
- 171-176
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2076331116
- Cited by
- 254
- References
- 1
- FWCI
- 5.14
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Language-Associated Cortical Regions Are Proportionally Larger in the Female Brain. https://app.cochat.ai/papers/10.1001/archneur.1997.00550140045011
- The paper
- Harasty, J., Double, K. L., Halliday, G. M., Kril, J. J., & McRitchie, D. A. (1997). Language-Associated Cortical Regions Are Proportionally Larger in the Female Brain. Archives of Neurology. https://doi.org/10.1001/archneur.1997.00550140045011
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.