Evidence map›Paper›PMID 30405373›Full record

ArticleFrontiers in human neuroscience2018

Analysis of Human Brain Structure Reveals that the Brain "Types" Typical of Males Are Also Typical of Females, and Vice Versa.

Daphna Joel, Ariel Persico, Moshe Salhov, Zohar Berman, Sabine Oligschläger, Isaac Meilijson, Amir Averbuch

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. A sexually dimorphic neuronal cluster in the mouse medial amygdala responds to male sexual status.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. "Precision Medicine" and the Failed Search for Binary Brain Sex Differences to Address Gender Behavioral Health Disparities.American journal of human biology : the official journal of the Human Biology Council · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Sex and Gender in Population Neuroscience.Current topics in behavioral neurosciences · 2024
    Review
  13. New perspectives on sex differences in learning and memory.Trends in endocrinology and metabolism: TEM · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Brain architecture-based vulnerability to traumatic injury.Frontiers in bioengineering and biotechnology · 2022
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daphna JoelSchool of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
Ariel PersicoSchool of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Moshe SalhovSchool of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Zohar BermanSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Sabine OligschlägerMax Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Isaac MeilijsonSchool of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel.
Amir AverbuchSchool of Computer Science, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Findings of average differences between females and males in the structure of specific brain regions are often interpreted as indicating that the typical male brain is different from the typical female brain. An alternative interpretation is that the brain types typical of females are also typical of males, and sex differences exist only in the frequency of rare brain types. Here we contrasted the two hypotheses by analyzing the structure of 2176 human brains using three analytical approaches. An anomaly detection analysis showed that brains from females are almost as likely to be classified as "normal male brains," as brains from males are, and vice versa. Unsupervised clustering algorithms revealed that common brain "types" are similarly common in females and in males and that a male and a female are almost as likely to have the same brain "type" as two females or two males are. Large sex differences were found only in the frequency of some rare brain "types." Last, supervised clustering algorithms revealed that the brain "type(s)" typical of one sex category in one sample could be typical of the other sex category in another sample. The present findings demonstrate that even when similarity and difference are defined mathematically, ignoring biological or functional relevance, sex category (i.e., whether one is female or male), is not a major predictor of the variability of human brain structure. Rather, the brain types typical of females are also typical of males, and vice versa, and large sex differences are found only in the prevalence of some rare brain types. We discuss the implications of these findings to studies of the structure and function of the human brain.

Indexed as

brainfemale braingender differencesmale brainMRIsex differences

Identifiers

PMID30405373
PMCPMC6204758

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.