Evidence map›Paper›PMID 40571838›Full record

ArticleBrain imaging and behavior2025

Sex effects on dynamic structure-function coupling of intrinsic brain network.

Xi Zhang, Dandan Li, Yuting Yuan, Xuebing Han, Lan Yang, Jiayu Lu, Ting Li, Zhifeng Li, Bin Wang

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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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

9 authors.

Xi ZhangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.ORCID http://orcid.org/0009-0001-4769-4252
Dandan LiCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.ORCID http://orcid.org/0000-0002-5660-0895
Yuting YuanCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.
Xuebing HanCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.
Lan YangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.
Jiayu LuCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.
Ting LiSchool of Software, Taiyuan University of Technology, Taiyuan, 030024, China.
Zhifeng LiCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China.
Bin WangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China. wangbin01@tyut.edu.cn.ORCID http://orcid.org/0000-0001-7771-5360

Funding

National Key Scientific and Technological Infrastructure project "Earth System Numerical Simulation Facility 2023-EL-PT-000371National Key Scientific and Technological Infrastructure project "Earth System Numerical Simulation Facility 2023-EL-PT-000374Natural Science Foundation of China 62176177Natural Science Foundation of Shanxi 20210302123112Natural Science Foundation of Shanxi Province 202303021211055Research Project Supported by Shanxi Scholarship Council of China 2021-039Special Regional Cooperation Project for Science and Technology Cooperation and Exchange 202304041101034
6 · The paper itself

Abstract

Sex differences in static structure-function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how sex influences dynamic SC-FC coupling over time. Moreover, intrinsic functional networks represent a core feature of brain organization. Here, we quantified sex differences in dynamic FC strength and SC-FC coupling at the intrinsic functional network level using a sliding window approach. Using two window sizes (50 TRs and 30 TRs), we constructed dynamic FC networks and identified hyper-connected and hypo-connected states via k-means clustering. The results showed females performed higher whole-brain SC-FC coupling in hyper-connected state. Specifically, females exhibited higher FC strength and coupling in systems related default mode network in this state. In addition, females exhibited higher FC strength and coupling in systems related limbic/paralimbic and subcortical network in hypo-connected state. Males exhibited higher FC strength and coupling in systems related somatosensory/motor and auditory network in hyper-connected state. Finally, sex-specific patterns in correlations were shown between SC-FC coupling and cognitive performance in distinct states. This study provides new insights into sex-related effects on the neurodevelopmental basis of cognitive function through the perspective of dynamic SC-FC coupling.

Indexed as

BrainNerve NetSex CharacteristicsAdultBrain MappingCognitionConnectomeFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung AdultDynamic FCDynamic SC-FC couplingIntrinsic functional networkSex differences

Identifiers

PMID40571838

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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.