Novel findings from 2,838 Adult Brains on Sex Differences in Gray Matter Brain Volume
Open accessAbstract
There is still disagreement among studies with respect to the magnitude, location, and direction of sex differences of local gray matter volume (GMV) in the human brain. Here, we applied a state-of-the-art technique examining GMV in a well-powered sample (n = 2,838) validating effects in two independent general-population cohorts, age range 21–90 years, measured using the same MRI scanner. More GMV in women than in men was prominent in medial and lateral prefrontal areas, the superior temporal sulcus, the posterior insula, and orbitofrontal cortex. In contrast, more GMV in men than in women was detected in subcortical temporal structures, such as the amygdala, hippocampus, temporal pole, fusiform gyrus, visual primary cortex, and motor areas (premotor cortex, putamen, anterior cerebellum). The findings in this large-scale study may clarify previous inconsistencies and contribute to the understanding of sex-specific differences in cognition and behavior.
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Structural differences in gray matter morphometry in the medial temporal lobe were found in a cross-sectional MRI study of 27 adolescents with CAH.
“Structural differences in gray matter morphometry in the medial temporal lobe were found in a cross-sectional MRI study of 27 adolescents with CAH (695).”
From Congenital Adrenal Hyperplasia—Current Insights in Pathophysiology, Diagnostics, and Management (2022) · cites this paper as [695]
The Results (Combined Cohort, Table 2; page unavailable) report gray-matter-volume differences in medial temporal regions, including the parahippocampal gyrus and hippocampus. But Methods and Materials (Sample and Imaging; page unavailable) describes an adult cohort aged 21–90, not a study of 27 adolescents with CAH. The cited paper therefore supports the anatomical finding only in a different population. (LLM, conf=0.85)
Experimental — accuracy not yet measuredYoung people with classic CAH had smaller regional volumes in the prefrontal cortex, amygdala and hippocampus and overall smaller brain volumes compared to age-matched controls.
“Young people with classic CAH had smaller regional volumes in the prefrontal cortex, amygdala and hippocampus and overall smaller brain volumes compared to age-matched controls.”
From Congenital Adrenal Hyperplasia—Current Insights in Pathophysiology, Diagnostics, and Management (2022) · cites this paper as [695]
The Methods (Sample and Imaging; page unavailable) describe adults aged 21–90, and the Results (Combined Cohort; page unavailable) compare brain volumes between men and women. Searches for classic CAH, congenital adrenal hyperplasia, and age-matched controls found no passage addressing brain volumes in young people with CAH. (LLM, conf=0.78)
Experimental — accuracy not yet measured
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Cites
Lakens, D. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617697177 · Cited by 2,161 · see citing works
Löwe, B., Kroenke, K., Herzog, W., & Gräfe, K. (2004) · Journal of Affective Disorders · doi:10.1016/s0165-0327(03)00198-8 · Cited by 1,558 · see citing works
Integration of word meaning and world knowledge in language comprehension
Hagoort, P., Hald, L., Bastiaansen, M., & Petersson, K. M. (2004) · Science · doi:10.1126/science.1095455 · Cited by 1,396 · see citing works
The neural basis of human moral cognition
Moll, J., Zahn, R., de Oliveira-Souza, R., Krueger, F., & Grafman, J. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1768 · Cited by 930 · see citing works
Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants
Ritchie, S. J., Cox, S. R., Shen, X., Lombardo, M. V., Reus, L. M., Alloza, C., Harris, M. A., Alderson, H. L., Hunter, S., Neilson, E., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy109 · Cited by 855 · see citing works
Eickhoff, S. B., Nichols, T. E., Laird, A. R., Hoffstaedter, F., Amunts, K., Fox, P. T., Bzdok, D., & Eickhoff, C. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.072 · Cited by 683 · see citing works
Yuan, P., & Raz, N. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.02.005 · Cited by 608 · see citing works
Brain structural correlates of irritability: Findings in a large healthy cohort
Besteher, B., Squarcina, L., Spalthoff, R., Bellani, M., Gaser, C., Brambilla, P., & Nenadić, I. (2017) · Human Brain Mapping · doi:10.1002/hbm.23824 · Cited by 48 · see citing works
Flagged first, then by citations
Research works printed but not linked: 24
- [1]Joel D Sex beyond the genitalia: The human brain mosaic Proc. Natl. Acad. Sci. 2015 112 15468 15473 10.1073/pnas.1509654112 26621705 PMC4687544 · DOI · Paper page
- [2]Ruigrok ANV A meta-analysis of sex differences in human brain structure Neurosci. Biobehav. Rev. 2014 39 34 50 10.1016/j.neubiorev.2013.12.004 24374381 PMC3969295 · DOI · Paper page
- [3]Stonnington CM Interpreting scan data acquired from multiple scanners: A study with Alzheimer’s disease Neuroimage 2008 39 1180 1185 10.1016/j.neuroimage.2007.09.066 18032068 PMC2225446 · DOI
- [5]Ritchie, S. J. et al. Differences in the Adult HumanBrain: Evidence from 5216 UK Biobank Participants. Cereb. Cortex in press (2018). PMC6041980 29771288
- [6]Giedd JN Raznahan A Mills KLLR Review: magnetic resonance imaging of male/female differences in human adolescent brain anatomy Biol Sex Differ. 2012 21 19 10.1186/2042-6410-3-19 PMC3472204 22908911 · DOI
- [7]Chen X Sachdev PS Wen W Anstey KJ Sex differences in regional gray matter in healthy individuals aged 44-48 years: A voxel-based morphometric study Neuroimage 2007 36 691 699 10.1016/j.neuroimage.2007.03.063 17499524 · DOI
- [8]Neufang S Sex differences and the impact of steroid hormones on the developing human brain Cereb. Cortex 2009 19 464 73 10.1093/cercor/bhn100 18550597 · DOI
- [10]Völzke H Cohort profile: The study of health in Pomerania Int. J. Epidemiol. 2011 40 294 307 10.1093/ije/dyp394 20167617 · DOI
- [11]Kim GW Park K J. G. Effects of Sex Hormones and Age on Brain Volume in Post-Menopausal Women J Sex Med 2018 15 5 662 670 10.1016/j.jsxm.2018.03.006 29628218 · DOI
- [12]Chang, Y. Reorganization and plastic changes of the human brain associated with skill learning and expertise. Front. Hum. Neurosci. 8 (2014). PMC3912552 24550812
- [16]Chekroud AM Ward EJ Rosenberg MD Holmes AJ Patterns in the human brain mosaic discriminate males from females Proc. Natl. Acad. Sci. 2016 113 E1968 E1968 10.1073/pnas.1523888113 26984491 PMC4833246 · DOI
- [17]Wan CY Schlaug G Music Making as a Tool for Promoting Brain Plasticity across the Life Span Neurosci. 2010 16 566 577 PMC2996135 20889966
- [18]Zatorre RJ Fields RD Johansen-Berg H Plasticity in gray and white: Neuroimaging changes in brain structure during learning Nature Neuroscience 2012 15 528 536 10.1038/nn.3045 22426254 PMC3660656 · DOI · Paper page
- [19]Foster NEV Zatorre RJ Cortical structure predicts success in performing musical transformation judgments Neuroimage 2010 53 26 36 10.1016/j.neuroimage.2010.06.042 20600982 · DOI
- [20]Wenger E Brozzoli C Lindenberger U Lövdén M Expansion and Renormalization of Human Brain Structure During Skill Acquisition Trends in Cognitive Sciences 2017 21 930 939 10.1016/j.tics.2017.09.008 29149999 PMC5697733 · DOI
- [21]Penke L Brain white matter tract integrity as a neural foundation for general intelligence Mol. Psychiatry 2012 17 1026 1030 10.1038/mp.2012.66 22614288 · DOI
- [22]Winkler AM Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies Neuroimage 2010 53 1135 1146 10.1016/j.neuroimage.2009.12.028 20006715 PMC2891595 · DOI · Paper page
- [23]Hegenscheid K Whole-body magnetic resonance imaging of healthy volunteers: pilot study results from the population-based SHIP study Rofo 2009 181 748 759 10.1055/s-0028-1109510 19598074 · DOI
- [26]Ashburner J A fast diffeomorphic image registration algorithm Neuroimage 2007 38 95 113 10.1016/j.neuroimage.2007.07.007 17761438 · DOI · Paper page
- [27]Tohka J Zijdenbos A Evans A Fast and robust parameter estimation for statistical partial volume models in brain MRI Neuroimage 2004 23 84 97 10.1016/j.neuroimage.2004.05.007 15325355 · DOI
- [28]Cuadra MB Cammoun L Butz T Cuisenaire O Thiran JP Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images IEEE Trans. Med. Imaging 2005 24 1548 1565 10.1109/TMI.2005.857652 16350916 · DOI
- [30]Eickhoff SB Assignment of functional activations to probabilistic cytoarchitectonic areas revisited Neuroimage 2007 36 511 521 10.1016/j.neuroimage.2007.03.060 17499520 · DOI
- [31]Sallet J The Organization of Dorsal Frontal Cortex in Humans and Macaques J. Neurosci. 2013 33 12255 12274 10.1523/JNEUROSCI.5108-12.2013 23884933 PMC3744647 · DOI · Paper page
- [32]Tzourio-Mazoyer N Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain Neuroimage 2002 15 273 289 10.1006/nimg.2001.0978 11771995 · DOI · Paper page
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Claahsen - van der Grinten, H. L., Speiser, P. W., Ahmed, S. F., Arlt, W., Auchus, R. J., Falhammar, H., Flück, C. E., Guasti, L., Huebner, A., Kortmann, B. B. M., et al. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnab016 · Cited by 556 · see citing works
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Frenzel, S., Bis, J. C., Gudmundsson, E. F., O’Donnell, A., Simino, J., Yaqub, A., Bartz, T. M., Brusselle, G. G. O., Bülow, R., DeCarli, C. S., et al. (2022) · Journal of Alzheimer's Disease · doi:10.3233/jad-220667 · Cited by 22 · see citing works
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Peyre, H., Mohanpuria, N., Jednoróg, K., Heim, S., Grande, M., van Ermingen‐Marbach, M., Altarelli, I., Monzalvo, K., Williams, C. M., Germanaud, D., et al. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14690 · Cited by 5 · see citing works
- Authors
- Lotze, M., Domin, M., Gerlach, F. H., Gaser, C., Lueders, E., Schmidt, C. O., & Neumann, N.
- Affiliations
- Universitätsmedizin Greifswald (DE)
- Venue
- Scientific Reports
- Published
- 2019-02-08
- Volume
- 9
- Issue
- 1
- Pages
- 1671-1671
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6368548
- OpenAlex
- W2914619606
- Cited by
- 252
- References
- 8
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 29 · 2023: 19 · 2022: 41 · 2021: 41 · 2020: 73 · 2019: 7
- FWCI
- 37.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (393148499)
- Universität Greifswald (393148499)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sexual Differentiation and Disorders
- Keywords
- sex differences, gray matter volume, brain structure, prefrontal cortex, superior temporal sulcus, posterior insula, orbitofrontal cortex, amygdala, hippocampus, temporal pole, fusiform gyrus, motor areas, general population, brain aging
- MeSH terms
- Adult, Aged, Aged, 80 and over, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Sex Characteristics, Socioeconomic Factors, Reproducibility of Results, Young Adult, Gray Matter
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