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Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants
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Abstract
Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44-77 years). Males had higher raw volumes, raw surface areas, and white matter fractional anisotropy; females had higher raw cortical thickness and higher white matter tract complexity. There was considerable distributional overlap between the sexes. Subregional differences were not fully attributable to differences in total volume, total surface area, mean cortical thickness, or height. There was generally greater male variance across the raw structural measures. Functional connectome organization showed stronger connectivity for males in unimodal sensorimotor cortices, and stronger connectivity for females in the default mode network. This large-scale study provides a foundation for attempts to understand the causes and consequences of sex differences in adult brain structure and function.
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“Sex-related differences in brain structure and function have been consistently reported across large-scale neuroimaging studies, involving both global and regional measures such as total brain volume, cortical thickness, white matter microstructure, and functional connectivity [29,30,31,32].”
From Benchmarking Multimodal Deep Fusion Strategies for Heterogeneous Neuroimaging and Cognitive Data Using a Controlled Sex Classification Task (2026) · cites this paper as [31]
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“As sex differences exist in brain morphology,33”
From Sex Differences in the Association of Global Amyloid and Regional Tau Deposition Measured by Positron Emission Tomography in Clinically Normal Older Adults (2019) · cites this paper as [33]
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“Memory impairment is similarly found among patients with Cushing disease and Cushing syndrome (694).”
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Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · cited 1×
“2007), according to the Desikan– Killiany atlas (Desikan et al. 2006).”
MethodJenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · cited 1×
“The following preprocessing procedures were applied: motion correction using MCFLIRT (Jenkinson et al. 2002), grand-mean intensity normalization using a single multiplicative factor, high-pass temporal filtering with a Gaussian-weighted least-squares straight line fitting (sigma was set as 50.”
MethodThe descent of man and selection in relation to sex
チャールス, ダ., & 茂穂, 田. (1907) · Tokyo Jinrui Gakkai zasshi · doi:10.1537/ase1887.22.495 · Cited by 10,909
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 2×
“Given the surfeit of small-n studies in neuroscience (Button et al. 2013; Nord et al. 2017), it is of great importance to test hypotheses in large, well-powered samples, especially given that many neural sex differences are modest in size (Joel et al.”
BackgroundZhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · cited 1×
“2001, 2007a, 2007b) and FAST (Zhang et al. 2001), yielding cerebrospinal fluid (CSF), grey and white matter volumes.”
BackgroundHow do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
A New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202
Flagged first, then by citations
Research works printed but not linked: 2
- Fine, 2017, Testosterone Rex: unmaking the myths of our gendered minds
- Maeda, 2013, Ed Psychol Rev, 69
Cited by
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Items 801–854 of 854
Neurofisiología y estructura encefálicas masculina y femenina: pensamiento y conducta
Guillén, J. M. B. (2025) · Psiquiatría Biológica · doi:10.1016/j.psiq.2025.100886
Doren, N., & Tobler, P. N. (2026) · Springer eBooks · doi:10.1007/978-3-032-02925-6_31
Gurholt, T. P., Beck, D., Voldsbekk, I., Parker, N., Askeland-Gjerde, D. E., de Lange, A. G., van der Meer, D., Tamnes, C. K., Thompson, P. M., Sønderby, I. E., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag026 · Cited by 1
“Sex-and age-related differences in body shape and fat distribution 11 and dMRI features 20-22 might contribute to the reported links between obesity and white matter phenotypes.”
Relationship between X chromosome mosaicism, neuroanatomy and cognitive performance in femalesPreprint
Karipidis, I. I., Klabunde, M., Jordan, T. L., Chromik, L. C., Hosseini, S. M. H., Reiss, A. L., & Hong, D. S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.07.704538
“Despite the small sample size, our findings across a spectrum of X chromosome loss remarkably overlap with results derived from the UK Biobank, which identified many of the same neuroanatomical regions that differed between 46XY males and 46XX females (46).”
Chen, Y., Zheng, J., Shen, R., Cheng, J., Wang, X., Liang, T., Sun, Y., Wu, J., Zheng, Z., Zhou, T., et al. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-07841-8
Levin, O., Just, I., Klepochová, R., Helsper, S., Vints, W. A. J., Silva, A. F., Langeard, A., Shalom, S. B., Karatzaferi, C., Ziaei, M., et al. (2026) · Experimental Gerontology · doi:10.1016/j.exger.2026.113082
Sex differences in diffusion-weighted imaging outcomes in autosomal dominant Alzheimer’s disease
Giudicessi, A., Koops, E., Baena, A., Alvarez, S., Vidal, M., Martínez, L., Félix, N. A. B., Gonzalez, I., Medrano, R., Tristão-Pereira, C., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag081
“9,19,20 Exploratory analyses of the relations between amyloid and tau-PET and markers of white matter degeneration revealed potential sex-specific patterns of vulnerability and resilience.”
The cognitive connectome of men and women: a study on sex differences across three cohorts
Gasparre, D., Habich, A., Mulet‐Pons, L., Yánez-Pérez, R., Westman, E., Barroso, J., Vaqué‐Alcázar, L., Bartrés‐Faz, D., Taurisano, P., Ferreira, D., et al. (2026) · Biology of Sex Differences · doi:10.1186/s13293-026-00866-0
166. Regional Brain Age Deviations Reveal Divergent Developmental Pathways in Youth
Gagnon, A., Brunet, M. A., Descoteaux, M., & Takser, L. (2026) · Biological Psychiatry · doi:10.1016/j.bpsc.2026.03.010
Liu, Q., Chen, B., Su, T., Wang, Q., Xu, D., Yang, M., Lin, G., Zeng, Y., Lao, J., Liang, S., et al. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03985-9
Williams, C. M. (2022) · theses.fr (ABES) · doi:10.70675/4418ee9dz5bd3z43f7za4efz5ddac1baed0f
Perez, E. U., Espinós-Soler, E., Cerdá, A. C., Maroto, A. S., Martínez-Tazo, P., Eggl, M. F., Pérez-Cervera, L., Canals, S., & Santis, S. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.02.715844
“Large neuroimaging cohorts (e.g., ENIGMA Lifespan, UK Biobank) show slower frontal cortical thinning and smaller age-related volume loss in women, particularly in dorsolateral prefrontal cortex 39 .”
Yao, S., Becker, B., Qi, Z., Zhou, X., Wu, R., Kendrick, K. M., Ferraro, S., & Zeng, Y. (2021) · OSF Preprints (OSF Preprints)
Human milk omega-3 PUFA and infant neurodevelopment: Evidence and insights from indian mothers
Gupta, R., Aggarwal, R., Cheema, S. K., & Bains, K. (2026) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2026.102747
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Haier, R. J., Kabziński, P., & Mąka, S. (2026) · Wydawnictwo Uniwersytetu Łódzkiego eBooks · doi:10.18778/8331-892-9
Yamada, K., Kurihara, M., Akitomi, Y., Sato, K., Shimasaki, R., Hatano, K., Bannai, T., Suzuki, F., Furuta, K., Tokumaru, A. M., et al. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70374
Nonlinear kernel-based high-dimensional inference for set-based genetic association studies
Zhang, Z., Yang, H., Zhu, M., Guo, R., Chen, F., Dong, H., Cui, Y., & Yang, H. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag275
“…fusiform gyrus and middle temporal gyrus, sex showed stronger associations than age, consistent with UK Biobank findings demonstrating more pronounced sex differences than age effects in temporal lobe morphology [ 31] and meta-analytic evidence of consistently larger temporal lobe volumes in males.”
Synaptic, cellular, and circuit mechanisms underlying sex differences in behaviors
Ninan, I. (2026) · Biology of Sex Differences · doi:10.1186/s13293-026-00931-8
“Males show a larger amygdala, but studies on the hippocampus show no conclusive size difference between women and men [9, 10].”
Ustinin, M. N., Boyko, A. I., & Rykunov, S. D. (2026) · Mathematical Biology and Bioinformatics · doi:10.17537/2026.21.220
Sex-related structural alterations across common epilepsies: a worldwide ENIGMA studyPreprint
Wen, H., Wan, B., Gholipour, T., Xie, K., Chen, J., Serio, B., Hettwer, M. D., Alvim, M. K. M., Arienzo, D., João, R. B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.06.730611
“…structure across healthy participants, females generally exhibit greater cortical thickness, particularly in frontal and Wen et al. parietal regions 43,44 , whereas males show higher subcortical volumes, with the largest differences typically observed in the bilateral thalamus, putamen, pallidum…”
Sex Differences in Depression: Adult Cytogenesis as Potential Target for Precision Psychiatry
Rodrigues-Freitas, L., Pinto, L., & Canedo, T. (2026) · Cells · doi:10.3390/cells15121059
“Physiologically, males and females tend to have similar sizes of the hippocampus [65,75,78], and volumetric reductions in this region are observed in patients with depression [7].”
Wiegand, T. L. T., Rubinski, A., Jung, L., Franzmeier, N., Arciniega, H., Ravanfar, P., Dewenter, A., Alosco, M. L., Tripodis, Y., Su, Y., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71503
Goeckner, B. D., Meyer, E., Fry, H., Ferreira, E., Andersson, M. J., O’Malley, O., Mannix, R., & Meier, T. B. (2026) · Journal of Neurotrauma · doi:10.1177/08977151261460628
Bendtsen, A. W., Lykkebirk, L., Behrens, C. M., Skovgaard, A. M., Larsen, M., & Hamann, S. (2026) · Ophthalmic Epidemiology · doi:10.1080/09286586.2026.2693522
Tian, B.-X., Fang, J., Ji, K., Yang, J., Tan, Y.-X., Liu, F.-G., & Liu, L. (2026) · World Journal of Psychiatry · doi:10.5498/wjp.117788
Greater Female Variability in Human Colour Perception
Chen, Z., Gong, H., Huang, Z., & Liu, Q. (2025) · Light & Engineering · doi:10.33383/2025-016
Juglan, R., Ligero, M., Carrero, Z. I., Meneghetti, A. R., Lenz, T., Misera, L., Veldhuizen, G. P., Kuntke, P., Kitzler, H. H., Nebelung, S., et al. (2026) · Brain Informatics · doi:10.1186/s40708-026-00316-y · Cited by 4
Yurt, M., Can, M. Ş., Özcan, E., Çetinel, A., DERİNÖZ, E., Karaca, Ö., & Kuş, İ. (2026) · Cyprus Turkish Journal of Psychiatry and Psychology · doi:10.35365/ctjpp.26.3.01
Dzianok, P., Wojciechowski, J., Wolak, T. P., & Kublik, E. (2026) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2026.07.004
Ni, X., Wang, Z., Su, M., & Zhong, H. (2026) · Journal of Craniofacial Surgery · doi:10.1097/scs.0000000000013166
Polito, N. D., Gambarota, F., Hampson, E., & Herlitz, A. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106877
Skorska, M. N., Folkierska-Żukowska, M., Rodkong, A., Saokhieo, P., Parent, O., Hu, D. Z., Peragine, D. E., Kaur, S., Thurston, L. T., Supintham, T., et al. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.07.051
Liu, Y., Yang, S., Sun, Y., Liu, L., Tu, J., Mao, Y., Du, X., Lu, W., & Jin, C. (2026) · Research Square · doi:10.21203/rs.3.rs-10389588/v1
Chen, C., Cheng, J., Yang, M., Li, J., Tao, S., Wang, P., & Pan, H. (2026) · International Journal of Rheumatic Diseases · doi:10.1111/1756-185x.70823
Debnath, T., Rahman, M. G., Debnath, S., & Chau, M. T. (2026) · Life · doi:10.3390/life16081356
White, T., Sadeghi, N., Norman, L. J., Calhoun, V., & Shaw, P. (2026) · Aperture Neuro · doi:10.52294/001c.165375
Tsiarli, M. A., & Larschan, E. (2026) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2026.1888207
Digital Facial Approximation of Jebel Irhoud Composite Skull (~315,000 BP)
Moraes, C. A. D. C., Varotto, E., Habicht, M. E., Galassi, F. M., Moura, L., & Abdullah, J. Y. (2026) · Heritage · doi:10.3390/heritage9090369
“Converting the endocranial volume to brain volume by applying a 9.81% reduction yielded 1230 cm 3 , a value very close to the average for modern adult males, which is 1234 cm 3 ( ± 98) [12].”
InfluentialLacomba‐Arnau, E., Martínez‐Molina, A., Perez-Diaz, O., Picó‐Pérez, M., & Barrós‐Loscertales, A. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122247
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Devineni, A. V. (2026) · Current Biology · doi:10.1016/j.cub.2026.07.036
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Zhang, X., Dannecker, M., Cleary, J. O., Falcetta, D., Yang, K., Menze, B. H., Shi, Y., Wegener, S., Sebastien Ourselin, A., Rueckert, D., et al. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38186-6_45
Putra, H. A., & Park, K. (2026) · Human Brain Mapping · doi:10.1002/hbm.70647
“…both ADHD symptom profiles, with males presenting more hyperactive–impulsive symptoms and females more inattentive symptoms (Ramtekkar et al. 2010; Willcutt 2012), and in brain morphometry, with large sex differences in total gray matter volume ( d > 1.0; Ritchie et al. 2018, Ruigrok et al. 2014).”
InfluentialCho, K., Choi, J., Park, M., Shin, N., & Han, S. (2026) · International Journal of Neural Systems · doi:10.1142/s0129065727500304
Serrarens, C., Sylvester, A. L., Passaro, D., Linden, D. E. J., van Amelsvoort, T., & Vingerhoets, C. (2026) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2026.105107
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Granovsky, Y., Weissman‐Fogel, I., Hoffman, T., Levi, M. K., Gal, E., Sprecher, E., Shor, M., & Bar‐Shalita, T. (2026) · European Journal of Pain · doi:10.1002/ejp.70411
“…pattern of sex-related differences in neuronal oscillations and ERP amplitudes (Melynyte et al. 2018) may be explained by enhanced interhemispheric structural and functional connectivity (Ingalhalikar et al. 2014), as well as greater grey matter volume (Ritchie et al. 2018) in neurotypical females.”
Limited sex‐specific structural alterations across common epilepsies: A worldwide ENIGMA study
Wen, H., Wan, B., Gholipour, T., Xie, K., Chen, J., Serio, B., Hettwer, M. D., Alvim, M. K. M., Arienzo, D., João, R. B., et al. (2026) · Epilepsia · doi:10.1002/epi.70515
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Varsha, H., Thompson, C., & Goswami, T. (2026) · Life · doi:10.3390/life16101741
“The data were stratified by both diagnosis and sex rather than by diagnosis alone because differences in brain volume and patterns of atrophy have been reported between males and females, as well as differences in the prevalence of Alzheimer’s disease [14,15].”
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Christensen, E., Wiersch, L., Wang, M., McPherson, B., Shearer, H., Noble, S., Lam, K., Poline, J., & Dhamala, E. (2026) · Communications Psychology · doi:10.1038/s44271-026-00528-2
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Begdache, L., & Elkefi, S. (2026) · Behavioral Sciences · doi:10.3390/bs16112027
Metadata
- Authors
- 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., Liewald, D. C. M., Auyeung, B., Whalley, H. C., Lawrie, S. M., Gale, C. R., Bastin, M. E., McIntosh, A. M., & Deary, I. J.
- Affiliations
- University of Edinburgh (GB)
- University of Cambridge (GB)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Queen Margaret Hospital (GB)
- NHS Lothian (GB)
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Corresponding author
- Ritchie, Stuart J
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-05-16
- Volume
- 28
- Issue
- 8
- Pages
- 2959-2975
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC6041980
- OpenAlex
- W2952574438
- Cited by
- 855
- References
- 125
- Citations by year
- 2026: 75 · 2025: 86 · 2024: 101 · 2023: 110 · 2022: 105 · 2021: 130 · 2020: 138 · 2019: 68 · 2018: 35
- FWCI
- 88.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cerebral Cortex (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Pure Amsterdam UMC (submittedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- CCACE (MR/K026992/1)
- MRC (MR/M013111/1)
- Dementias Platform UK (MR/L015382/1)
- STRADL (104036/Z/14/Z)
- 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 › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- sex differences, adult human brain, brain structure, brain function, brain volume, cortical thickness, white matter fractional anisotropy, functional connectome, default mode network, sensorimotor cortex, UK Biobank
- MeSH terms
- Adult, Aged, Brain, Brain Mapping, Female, United Kingdom, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Oxygen, Rest, Sex Characteristics, Biological Specimen Banks, Community Health Planning, Connectome, White Matter
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