Evidence map›Paper›PMID 40020404›Full record

ArticleDevelopmental cognitive neuroscience2025

The overgrowth of structure-function coupling in premature brain during infancy.

Rong Wang, Tianyu Fang, Yue Zhang, Yue Cheng, Chunfang Wang, Yuanyuan Chen, Qiuyun Fan, Xin Zhao, Dong Ming

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

9 authors.

Rong WangMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.
Tianyu FangMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.
Yue ZhangMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.
Yue ChengDepartment of Radiology, Tianjin First Central Hospital, Tianjin 300192, China.
Chunfang WangTianjin Rehabilitation Institute, Tianjin 300121, China.
Yuanyuan ChenMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China. Electronic address: bain@tju.edu.cn.
Qiuyun FanMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.
Xin ZhaoMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China. Electronic address: zhaoxin@tju.edu.cn.
Dong MingMedical School,Faculty of Medicine, Tianjin University, Tianjin, China; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the rapid growth of brain structure and function during infancy has been well documented, relatively little is known about how these two developmental processes couple-an aspect that exhibits distinct patterns in adult brain. In this study, the multimodal MRI data from the dHCP database were used to investigate the coupling between brain structure and function in infants, with a particular focus on how prematurity influences this relationship. A similar pattern of the coupling distribution between preterm and full-term infants was identified with coupling index varying across unimodal cortices such as visual and sensorimotor regions and transmodal cortices including default mode network. Notably, a widespread overgrowth of structure-function coupling and a slow developmental trajectory towards full-term infants in preterm infants at term-equivalent age were found. Collectively, the study quantified the development of structure-function relationships in preterm infants, offering new insights into the information transmission processes and developmental patterns of the early-life brain.

Indexed as

BrainChild DevelopmentInfant, PrematureFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleBrain developmentDTIFunctional MRIInfantStructure-function coupling

Identifiers

PMID40020404
PMCPMC11910680

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LicenceCC BY-NC-ND
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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.