Evidence map›Paper›PMID 39574642›Full record

ArticlebioRxiv : the preprint server for biology2025

A cross-species analysis of neuroanatomical covariance sex differences in humans and mice.

Linh Pham, Elisa Guma, Jacob Ellegood, Jason P Lerch, Armin Raznahan

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Linh PhamSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland.ORCID 0000-0001-6664-726X
Elisa GumaSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland.
Jacob EllegoodMouse Imaging Centre, Toronto, Ontario M5T 3H7, Canada.ORCID 0000-0003-1504-3321
Jason P LerchMouse Imaging Centre, Toronto, Ontario M5T 3H7, Canada.
Armin RaznahanSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland.

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
South Texas Medical Scientist Training Program (STX-MSTP)T32GM145432 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Jose E Cavazos, Ratna K Vadlamudi · 2023 to 2026
$2.3M
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 HD100298NIGMS NIH HHS T32 GM145432Wellcome Trust
6 · The paper itself

Abstract

Structural covariance in brain anatomy is thought to reflect inter-regional sharing of developmental influences - although this hypothesis has proved hard to causally test. Here, we use neuroimaging in humans and mice to study sex-differences in anatomical covariance - asking if regions that have developed shared sex differences in volume also show shared sex differences in volume covariance. This study design illuminates both the biology of sex-differences and theoretical models for anatomical covariance - benefitting from tests of inter-species convergence. We find that volumetric structural covariance is stronger in adult females compared to adult males for both wild-type mice and healthy human subjects: 98% of all comparisons with statistically significant covariance sex differences in mice are female-biased, while 76% of all such comparisons are female-biased in humans (q < 0.05). In both species, a region's covariance and volumetric sex-biases have weak inverse relationships to each other: volumetrically male-biased regions contain more female-biased covariations, while volumetrically female-biased regions have more male-biased covariations (mice: r = -0.185, p = 0.002; humans: r = -0.189, p = 0.001). Our results identify a conserved tendency for females to show stronger neuroanatomical covariance than males, evident across species, which suggests that stronger structural covariance in females could be an evolutionarily conserved feature that is partially related to volumetric alterations through sex.

Identifiers

PMID39574642
PMCPMC11580902

What Socratic holds

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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 Socratic graph.