Evidence map›Paper›PMID 41249834›Full record

ArticleCommunications biology2025

Large-scale brain mediation network based on resting-state functional MRI.

Bin Wang, Xi Zhang, Tingting Pan, Ting Li, Tiantian Liu, Tianyi Yan

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Bin WangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.ORCID http://orcid.org/0000-0001-7771-5360
Xi ZhangCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.
Tingting PanCollege of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.
Ting LiSchool of Software, Taiyuan University of Technology, Taiyuan, China.
Tiantian LiuSchool of Medical Technology, Beijing Institute of Technology, Beijing, China. tiantian2bit@bit.edu.cn.ORCID http://orcid.org/0000-0001-5384-0642
Tianyi YanSchool of Medical Technology, Beijing Institute of Technology, Beijing, China. yantianyi@bit.edu.cn.ORCID http://orcid.org/0000-0002-2674-4134

Funding

Beijing Nova Program 20230484465National Natural Science Foundation of China (National Science Foundation of China) 62176177National Natural Science Foundation of China (National Science Foundation of China) 62336002National Natural Science Foundation of China (National Science Foundation of China) 62406025National Natural Science Foundation of China (National Science Foundation of China) 62576240
6 · The paper itself

Abstract

Exploring the brain's complex interaction mechanisms is vital for understanding its functions. Traditional network models typically simplify brain region interactions into pairwise connections. However, such interactions may be significantly modulated by a third brain region. Given the widespread connections among numerous regions at the whole-brain scale, constructing an accurate model of brain triple-region interactions is challenging. Here, we develop an independent component-driven mediation brain network model that captures triple-region mediation relationships while controlling extraneous influences. Our results reveal an inverted U-shaped relationship between mediated strength and degree strength, indicating distinct mediation patterns in dense and sparse connected regions. Furthermore, the primary sensory and attention modules exhibit functional hierarchical differentiation: areas responsible for primary information processing belong to the super mediation set, while regions involved in higher-order cognitive functions belong to the super mediated set. These results emphasize the distinct influences of different mediation patterns on the cognitive capabilities of the brain.

Indexed as

BrainConnectomeMagnetic Resonance ImagingNerve NetRestAdultBrain MappingCognitionFemaleHumansMaleModels, NeurologicalYoung Adult

Identifiers

PMID41249834
PMCPMC12623753

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.