Evidence map›Paper›PMID 40619358›Full record

ArticleBMC medical imaging2025

Sex differences and age-related changes of large-scale brain networks.

Shujun Zhang, Meiqin Li, Anqiang Chen, Liping Jiang, Hao Yu, Yueqin Chen

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The progression of sex differences in brain networks across the lifespan.bioRxiv : the preprint server for biology · 2026
    Article
  4. 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

6 authors.

Shujun ZhangDepartment of Radiology, Affiliated Hospital of Jining Medical University, No. 89 Guhuai Road, Jining, Shandong Province, 272000, China.
Meiqin LiDepartment of Radiology, Affiliated Hospital of Jining Medical University, No. 89 Guhuai Road, Jining, Shandong Province, 272000, China.
Anqiang ChenDepartment of Radiology, Affiliated Hospital of Jining Medical University, No. 89 Guhuai Road, Jining, Shandong Province, 272000, China.
Liping JiangDepartment of Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong Province, 272000, China.
Hao YuDepartment of Radiology, Affiliated Hospital of Jining Medical University, No. 89 Guhuai Road, Jining, Shandong Province, 272000, China. ssyuhao@126.com.
Yueqin ChenDepartment of Radiology, Affiliated Hospital of Jining Medical University, No. 89 Guhuai Road, Jining, Shandong Province, 272000, China. yueqinchen_vip@163.com.

Funding

Natural Science Foundation of Shandong Province ZR2023QH100Traditional Chinese Medicine Science and Technology Project of Shandong Province Q-2023044
6 · The paper itself

Abstract

backgroundPrevious studies have identified sex differences in brain structure, function, and connectivity. However, the sex differences and age-related changes at the large-scale brain network level remain unclear.

methodsResting-state functional MRI data from 436 healthy adults were analyzed using independent component analysis to extract large-scale brain networks. Multivariate analysis of covariance was applied to investigate sex differences in inter-network connectivity between these networks, and further performed voxel-level analysis to examine intra-network connectivity differences. Additionally, Pearson correlation analysis was used to explore the relationship between inter-network and intra-network functional connectivity (FC) and age.

resultsMales exhibited stronger inter-network FC across multiple networks compared to females. In contrast, females demonstrated stronger intra-network FC in several networks, including the sensorimotor, salience, auditory, and executive control networks. Males showed stronger intra-network FC only in specific regions of the posterior default mode and left frontoparietal networks. Additionally, inter-network FC in females appeared more susceptible to age-related changes, whereas males demonstrated relatively stable inter-network connectivity across the lifespan. Intra-network FC generally decreases with age in both males and females, with the exception of the ventral attention network in females and the dorsal sensorimotor network in males.

conclusionMales typically have stronger inter-network connectivity, while females show enhanced intra-network connectivity in key networks. Age-related inter-network connectivity declines are more pronounced in females, both sexes experience a reduction in most intra-network connectivity with age. The study offers valuable insights into how age and sex shape the large-scale brain networks.

Indexed as

AgingBrainMagnetic Resonance ImagingNerve NetSex CharacteristicsAdolescentAdultAgedAge FactorsBrain MappingFemaleHumansMaleMiddle AgedSex FactorsYoung AdultAgeBrain networkFunctional connectivitySex

Identifiers

PMID40619358
PMCPMC12232833

What OpenQuestion holds

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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.