Cited by 684Sex and Gender in HealthcareSexual Differentiation and DisordersGenetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Sex beyond the genitalia: the human brain mosaic

Open access
Joel, Daphna, Berman, Zohar, Tavor, Ido, Wexler, Nadav, Gaber, Olga, Stein, Yaniv, Shefi, Nisan, Pool, Jared +6 more·2015·Proceedings of the National Academy of Sciences

Abstract

Whereas a categorical difference in the genitals has always been acknowledged, the question of how far these categories extend into human biology is still not resolved. Documented sex/gender differences in the brain are often taken as support of a sexually dimorphic view of human brains ("female brain" or "male brain"). However, such a distinction would be possible only if sex/gender differences in brain features were highly dimorphic (i.e., little overlap between the forms of these features in males and females) and internally consistent (i.e., a brain has only "male" or only "female" features). Here, analysis of MRIs of more than 1,400 human brains from four datasets reveals extensive overlap between the distributions of females and males for all gray matter, white matter, and connections assessed. Moreover, analyses of internal consistency reveal that brains with features that are consistently at one end of the "maleness-femaleness" continuum are rare. Rather, most brains are comprised of unique "mosaics" of features, some more common in females compared with males, some more common in males compared with females, and some common in both females and males. Our findings are robust across sample, age, type of MRI, and method of analysis. These findings are corroborated by a similar analysis of personality traits, attitudes, interests, and behaviors of more than 5,500 individuals, which reveals that internal consistency is extremely rare. Our study demonstrates that, although there are sex/gender differences in the brain, human brains do not belong to one of two distinct categories: male brain/female brain.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1509654112

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Despite many reported sex/gender differences in animal and human brains, these are subject to considerable heterogeneity, so the human brain is not male or female but best described as a mosaic of relative masculinity and femininity.

    “In spite of many reported sex/gender differences in both animal and human brains, these are subject to considerable heterogeneity, even within regions, so that the human brain is not male or female, but best described as a mosaic of relative masculinity and femininity (57).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Joel, D., Berman, Z., Tavor, I., Wexler, N., Gaber, O., Stein, Y., Shefi, N., Pool, J., Urchs, S., Margulies, D. S., Liem, F., Hänggi, J., Jäncke, L., & Assaf, Y.
Affiliations
  • Tel Aviv University (IL)
  • Max Planck Institute for Human Cognitive and Brain Sciences (DE)
  • University of Zurich (CH)
Venue
Proceedings of the National Academy of Sciences
Published
2015-11-30
Volume
112
Issue
50
Pages
15468-15473
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2185640743
Cited by
684
References
35
Citations by year
2026: 30 · 2025: 48 · 2024: 54 · 2023: 56 · 2022: 69 · 2021: 83 · 2020: 131 · 2019: 61 · 2018: 57 · 2017: 39 · 2016: 53 · 2015: 2
FWCI
53.86
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • Swiss National Science Foundation (320030-120661, 320030B-138668, 20030B-138668, 4-62341-05)
  • European Union FET Integrated Project PRESENCCIA (27731)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sexual Differentiation and Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Keywords
sex differences in brain, brain sexual dimorphism, gray matter, white matter, brain connectivity, sex and gender differences, personality traits
MeSH terms
Behavior, Brain, Female, Genitalia, Humans, Male, Organ Size, Sex Characteristics, Gray Matter

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