The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Normal Sexual Dimorphism of the Adult Human Brain Assessed by In Vivo Magnetic Resonance Imaging
Abstract
The etiology and consistency of findings on normal sexual dimorphisms of the adult human brain are unresolved. In this study, we present a comprehensive evaluation of normal sexual dimorphisms of cortical and subcortical brain regions, using in vivo magnetic resonance imaging, in a community sample of 48 normal adults. The men and women were similar in age, education, ethnicity, socioeconomic status, general intelligence and handedness. Forty-five brain regions were assessed based on T(1)-weighted three-dimensional images acquired from a 1.5 T magnet. Sexual dimorphisms of adult brain volumes were more evident in the cortex, with women having larger volumes, relative to cerebrum size, particularly in frontal and medial paralimbic cortices. Men had larger volumes, relative to cerebrum size, in frontomedial cortex, the amygdala and hypothalamus. A permutation test showed that, compared to other brain areas assessed in this study, there was greater sexual dimorphism among brain areas that are homologous with those identified in animal studies showing greater levels of sex steroid receptors during critical periods of brain development. These findings have implications for developmental studies that would directly test hypotheses about mechanisms relating sex steroid hormones to sexual dimorphisms in humans.
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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
The Human Brain Age 7–11 Years: A Volumetric Analysis Based on Magnetic Resonance Images
Caviness, V. S., Kennedy, D. N., Richelme, C., Rademacher, J., & Filipek, P. A. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.5.726 · Cited by 509
Sex difference in the bed nucleus of the stria terminalis of the human brain
Allen, L. S., & Gorski, R. A. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.903020402 · Cited by 281
The role of androgens in male gender role behavior
Wilson, J. D. (1999) · Endocrine Reviews · doi:10.1210/edrv.20.5.0377 · Cited by 172
RANCE, N. E., McMULLEN, N. T., SMIALEK, J. E., PRICE, D. L., & YOUNG, W. S. (1990) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-71-1-79 · Cited by 148
Puy, L., MacLusky, N. J., Becker, L., Karsan, N., Trachtenberg, J., & Brown, T. J. (1995) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/0960-0760(95)00165-v · Cited by 113
SHUGHRUE, P. J., STUMPF, W. E., MACLUSKY, N. J., ZIELINSKI, J. E., & HOCHBERG, R. B. (1990) · Endocrinology · doi:10.1210/endo-126-2-1112 · Cited by 106
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Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Why sex matters for neuroscience
Cahill, L. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1909 · Cited by 1,540
Lupien, S. J., Maheu, F., Tu, M., Fiocco, A., & Schramek, T. E. (2007) · Brain and Cognition · doi:10.1016/j.bandc.2007.02.007 · Cited by 1,474
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Milad, M. R., & Quirk, G. J. (2012) · Annual Review of Psychology · doi:10.1146/annurev.psych.121208.131631 · Cited by 1,466
Sexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309
Metadata
- Authors
- Goldstein, J. M.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-06-01
- Volume
- 11
- Issue
- 6
- Pages
- 490-497
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2153979740
- Cited by
- 1,026
- References
- 7
- FWCI
- 5.75
- Type
- journal article
- Language
- en
- Open access
- closed
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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.