Evidence map›Paper›PMID 41935261›Full record

ArticleBiology of sex differences2026

Sex differences in dynamic and static measures of brain integration derived from resting-state functional magnetic resonance imaging.

Xiaojing Fang, Olivia Schwemmer, Abigail Hogan, Michael Marxen

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Article in Biology of sex differences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaojing Fang *Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany.
Olivia Schwemmer *Department of Psychology, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany.
Abigail HoganDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany.
Michael MarxenDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany. michael.marxen@tu-dresden.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the impact of biological sex on the functional organization and dynamics of the brain is crucial for elucidating sex-specific differences in cognitive functions and neuropsychiatric disorders. Systems neuroscience often models the brain as a network of interconnected brain regions with functional connectivity (FC), i.e., the correlation between signal time courses, serving as a measure of connection strength. FC matrices, here derived from resting-state functional magnetic resonance imaging (rs-fMRI), define a network graph that can be characterized by its level of module segregation or, inversely, integration. Such parameters can be generated for the full length of the acquired data (static) or for short periods implying dynamically changing brain states. We recently made the interesting observation in a separate study (N = 63) that measures of brain integration and segregation based on dynamic functional connectivity (dFC) data differed between sexes, while graph-based measures based on static FC (sFC) did not, which we investigated in more detail in this study.

methodsWe preregistered a replication of our analysis from the small sample in N = 501 subjects of the Human Connectome Project dataset. We performed cross-sectional comparisons between sexes of the static rs-fMRI graph parameters modularity and global efficiency, as well as the dFC parameters state prevalence, mean dwell time, mean inter-state transition time, and variability derived from a two-state model. Additionally, we explored whether sex differences in 66 cognitive and behavioral parameters are mediated by the FC integration measure with the strongest sex effect.

resultsAll static and dynamic measures of integration/segregation showed higher levels of functional integration in males, with effect sizes up to 0.60 for the dFC parameter prevalence. For three of the 66 explored cognitive and behavioral parameters, we observed that the prevalence of the integrated state mediated the sex difference: dexterity, agreeableness, and self-reported aggression.

conclusionWe found consistent evidence across two datasets that rs-fMRI-based measures of brain integration are increased in males. An exploratory analysis, which requires replication, suggests that such differences mediate personality differences. This study highlights that biological sex differences in brain functional organization may contribute to sex-typical behaviors.

Indexed as

BrainMagnetic Resonance ImagingSex CharacteristicsAdultConnectomeFemaleHumansMaleRestYoung AdultDynamic functional connectivityFunctional integrationFunctional segregationHuman brain connectomeResting-state fMRISex differenceSliding window analysis

Identifiers

PMID41935261
PMCPMC13067390

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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.