The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Size Matters: Cerebral Volume Influences Sex Differences in Neuroanatomy
Open accessAbstract
Biological and behavioral differences between the sexes range from obvious to subtle or nonexistent. Neuroanatomical differences are particularly controversial, perhaps due to the implication that they might account for behavioral differences. In this sample of 200 men and women, large effect sizes (Cohen's d > 0.8) were found for sex differences in total cerebral gray and white matter, cerebellum, and gray matter proportion (women had a higher proportion of gray matter). The only one of these sex differences that survived adjustment for the effect of cerebral volume was gray matter proportion. Individual differences in cerebral volume accounted for 21% of the difference in gray matter proportion, while sex accounted for an additional 4%. The relative size of the corpus callosum was 5% larger in women, but this difference was completely explained by a negative relationship between relative callosal size and cerebral volume. In agreement with Jancke et al., individuals with higher cerebral volume tended to have smaller corpora callosa. There were few sex differences in the size of structures in Broca's and Wernicke's area. We conclude that individual differences in brain volume, in both men and women, account for apparent sex differences in relative size.
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
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
Self-citationGur, 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 Brain Maturation during Childhood and Adolescence
De Bellis, M. D. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.6.552 · Cited by 728 · cited 2×
“No rescaling of brain images, images measured in native space ( De Bellis et al. 2001 ) F 57 12 768 420 1.83 10.3% 16.2%”
BackgroundInfluentialDevelopmental structure in brain evolution
Finlay, B. L., Darlington, R. B., & Nicastro, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003958 · Cited by 442
Age- and sex-related effects on the neuroanatomy of healthy elderly
Lemaître, H., Crivello, F., Grassiot, B., Alpérovitch, A., Tzourio, C., & Mazoyer, B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.042 · Cited by 280
Cited by
A meta-analysis of sex differences in human brain structure
Ruigrok, A. N. V., Salimi-Khorshidi, G., Lai, M.-C., Baron-Cohen, S., Lombardo, M. V., Tait, R. J., & Suckling, J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.12.004 · Cited by 1,192
Sex differences in cognitive trajectories in clinically normal older adults.
McCarrey, A. C., An, Y., Kitner-Triolo, M. H., Ferrucci, L., & Resnick, S. M. (2016) · Psychology and Aging · doi:10.1037/pag0000070 · Cited by 452
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex
Arslan, S., Ktena, S. I., Makropoulos, A., Robinson, E. C., Rueckert, D., & Parisot, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.014 · Cited by 374
Giedd, J. N., Raznahan, A., Alexander-Bloch, A., Schmitt, E., Gogtay, N., & Rapoport, J. L. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.236 · Cited by 297
Gender Differences in Human Brain: A Review
Zaidi, Z. F. (2010) · The Open Anatomy Journal · doi:10.2174/1877609401002010037 · Cited by 229
Understanding the role of puberty in structural and functional development of the adolescent brain
Goddings, A., Beltz, A., Peper, J. S., Crone, E. A., & Braams, B. R. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12408 · Cited by 219
Motor control and neural plasticity through interhemispheric interactions
Takeuchi, N., Oouchida, Y., & Izumi, S.-I. (2012) · Neural Plasticity · doi:10.1155/2012/823285 · Cited by 171
Neural and behavioral responses to attractiveness in adult and infant faces
Hahn, A. C., & Perrett, D. I. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.08.015 · Cited by 167
Dennison, M., Whittle, S., Yücel, M., Vijayakumar, N., Kline, A., Simmons, J., & Allen, N. B. (2013) · Developmental Science · doi:10.1111/desc.12057 · Cited by 146
Structural brain development: A review of methodological approaches and best practices
(2017) · doi:10.1016/j.dcn.2017.11.008 · Cited by 124
Sex-linked white matter microstructure of the social and analytic brain
Chou, K.-H., Cheng, Y., Chen, I.-Y., Lin, C.-P., & Chu, W.-C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.010 · Cited by 81
Sex/gender differences in cognitive abilities
Kheloui, S., Jacmin-Park, S., Larocque, O., Kerr, P., Rossi, M., Cartier, L., & Juster, R.-P. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105333 · Cited by 78
Eliot, L., & Richardson, S. S. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1391-16.2016 · Cited by 70
Liu, Y., Metens, T., Absil, J., De Maertelaer, V., Balériaux, D., David, P., Denolin, V., Van Overmeire, B., Avni, F., Van Bogaert, P., et al. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2690 · Cited by 44
Jensen, S. K. G., Pangelinan, M., Björnholm, L., Klasnja, A., Leemans, A., Drakesmith, M., Evans, C. J., Barker, E. D., & Paus, T. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.033 · Cited by 44
Robust sex differences in functional brain connectivity are present in utero
Cook, K. M., De Asis-Cruz, J., Lopez, C., Quistorff, J., Kapse, K., Andersen, N., Vezina, G., & Limperopoulos, C. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac218 · Cited by 31
Creze, M., Versheure, L., Besson, P., Sauvage, C., Leclerc, X., & Jissendi‐Tchofo, P. (2014) · Human Brain Mapping · doi:10.1002/hbm.22369 · Cited by 14
Determinants of brain SPECT perfusion and connectivity in treatment-resistant depression
Richieri, R., Boyer, L., Faget-Agius, C., Farisse, J., Mundler, O., Lançon, C., & Guedj, E. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.11.013 · Cited by 14
Metadata
- Authors
- Leonard, C. M., Towler, S., Welcome, S., Halderman, L. K., Otto, R., Eckert, M. A., & Chiarello, C.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-04-24
- Volume
- 18
- Issue
- 12
- Pages
- 2920-2931
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2133463714
- Cited by
- 273
- References
- 6
- FWCI
- 16.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.