Evidence map›Paper›PMID 38488854›Full record

ArticleeLife2024

Comparative neuroimaging of sex differences in human and mouse brain anatomy.

Elisa Guma, Antoine Beauchamp, Siyuan Liu, Elizabeth Levitis, Jacob Ellegood, Linh Pham, Rogier B Mars, Armin Raznahan, Jason P Lerch

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

26 citing papers in PubMed, 10 citations in OpenAlex.

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  7. Aging in the Primary Auditory Cortex.Journal of the Association for Research in Otolaryngology : JARO · 2026
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  18. Complement receptorBrain communications · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 5 countries.

Elisa GumaSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, United States.ORCID https://orcid.org/0000-0003-4651-8529
Antoine BeauchampMouse Imaging Centre, Toronto, Canada.
Siyuan LiuSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, United States.ORCID https://orcid.org/0000-0003-3661-6248
Elizabeth LevitisSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, United States.
Jacob EllegoodMouse Imaging Centre, Toronto, Canada.
Linh PhamSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, United States.
Rogier B MarsWellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical 15 Neurosciences, University of Oxford, Oxford, United Kingdom.
Armin Raznahan *Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, United States.ORCID https://orcid.org/0000-0002-5622-1190
Jason P Lerch *Mouse Imaging Centre, Toronto, Canada.
National Institute of Mental Health · JPUniversity of Toronto · CAHospital for Sick Children · CARadboud University Nijmegen · NLUniversity of Oxford · GB

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Coupling neuroimaging with CLARITY and single cell genomics to dissect sex differences in the developing brainR01HD100298 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, ARTHUR P, LERCH, JASON P. · 2020 to 2024
$2.2M
Intramural NIH HHS ZIA MH002949NICHD NIH HHS R01 HD100298NIMH NIH HHS 1ZIAMH002949-03
6 · The paper itself

Abstract

In vivo neuroimaging studies have established several reproducible volumetric sex differences in the human brain, but the causes of such differences are hard to parse. While mouse models are useful for understanding the cellular and mechanistic bases of sex-specific brain development, there have been no attempts to formally compare human and mouse neuroanatomical sex differences to ascertain how well they translate. Addressing this question would shed critical light on the use of the mouse as a translational model for sex differences in the human brain and provide insights into the degree to which sex differences in brain volume are conserved across mammals. Here, we use structural magnetic resonance imaging to conduct the first comparative neuroimaging study of sex-specific neuroanatomy of the human and mouse brain. In line with previous findings, we observe that in humans, males have significantly larger and more variable total brain volume; these sex differences are not mirrored in mice. After controlling for total brain volume, we observe modest cross-species congruence in the volumetric effect size of sex across 60 homologous regions (

Indexed as

BrainSex CharacteristicsAnimalsFemaleHumansMagnetic Resonance ImagingMaleMammalsMiceNeuroimagingcomparative anatomyevolutionary biologyhumanmouseneuroimagingneurosciencesex differencesspatial transcriptomicstranslational neuroscience

Identifiers

PMID38488854
PMCPMC10942785
OpenAlexW4390618051

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.