Evidence map›Paper›PMID 41326704›Full record

ArticleCommunications biology2025

Dynamic structure-function coupling in macroscale neonatal brain networks.

Zhe Zhang, Chi Zhang, Xinlin Zhang, Yufeng Xu, Wenjie Dou, Mingyang Li, Weihao Zheng, Baoming Li

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

8 authors.

Zhe ZhangInstitute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.ORCID http://orcid.org/0000-0002-2725-4014
Chi ZhangInstitute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Xinlin ZhangInstitute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Yufeng XuSchool of Physics, Hangzhou Normal University, Hangzhou, China.
Wenjie DouInstitute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Mingyang LiKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Weihao ZhengGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China.
Baoming LiInstitute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China. bmli@hznu.edu.cn.ORCID http://orcid.org/0009-0006-1554-9700

Funding

Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LMS25H180005
6 · The paper itself

Abstract

The neonatal period is critical for brain development, yet the mechanisms linking structural differentiation to functional reorganization remain poorly understood. Using multi-modal MRI data from 399 neonates (348 term-born, 51 preterm-born), here we characterize the dynamic structure-function coupling (SFC) across macroscale brain networks and examine its associations with cortical microstructure (indexed by the T1w/T2w ratio) and network flexibility. We show that the dynamic SFC varies markedly across the neocortex and increases with postmenstrual age, particularly within the default mode network (DMN). Notably, the dynamic SFC in the posterior DMN mediates the relationship between the T1w/T2w ratio and network flexibility. Preterm infants exhibit a significantly reduced dynamic SFC relative to term-born peers, along with an altered developmental trajectory of DMN linked to premature extra-uterine exposure. These findings establish dynamic SFC, especially within the DMN, as a potential biomarker for neonatal brain maturation, offering insight into the early emergence of internally directed cognition and its vulnerability to early-life adversity.

Indexed as

BrainNerve NetFemaleHumansInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMale

Identifiers

PMID41326704
PMCPMC12783658

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.