Evidence map›Paper›PMID 40099852›Full record

ArticleHuman brain mapping2025

Early Development and Co-Evolution of Microstructural and Functional Brain Connectomes: A Multi-Modal MRI Study in Preterm and Full-Term Infants.

Andrea Gondová, Sara Neumane, Tomoki Arichi, Jessica Dubois

Abstract read
In one paragraph

Article in Human brain mapping, 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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Andrea GondováUniversité Paris Cité, Inserm, NeuroDiderot, Paris, France.ORCID 0000-0001-7442-5747
Sara NeumaneUniversité Paris Cité, Inserm, NeuroDiderot, Paris, France.
Tomoki ArichiResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Jessica DuboisUniversité Paris Cité, Inserm, NeuroDiderot, Paris, France.

Funding

Bettencourt Schueller FoundationEuropean Union's Horizon 2020 Research and Innovation Programme 800945 - NUMERICS - H2020-MSCA-COFUND-2017Fondation de France FdF-20-00111908Fondation Paralysie CérébraleFoundation de France FdF-18-00092867French National Agency for Research ANR-22-CE37-0028French National Agency for Research ANR-23-IAIIU-0010IdEx Université de Paris ANR-18-IDEX-0001Medical Research Council Centre for Neurodevelopmental Disorders MR/N026063/1MRC Clinical Fellowship MR/Y009665/1
6 · The paper itself

Abstract

Functional networks characterized by coherent neural activity across distributed brain regions have been observed to emerge early in neurodevelopment. Synchronized maturation across regions that relate to functional connectivity (FC) could be partially reflected in the developmental changes in underlying microstructure. Nevertheless, covariation of regional microstructural properties, termed "microstructural connectivity" (MC), and its relationship to the emergence of functional specialization during the early neurodevelopmental period remain poorly understood. We investigated the evolution of MC and FC postnatally across a set of cortical and subcortical regions, focusing on 45 preterm infants scanned longitudinally, and compared to 45 matched full-term neonates as part of the developing Human Connectome Project (dHCP) using direct comparisons of grey-matter connectivity strengths as well as network-based analyses. Our findings revealed a global strengthening of both MC and FC with age, with connection-specific variability influenced by the connection maturational stage. Prematurity at term-equivalent age was associated with significant connectivity disruptions, particularly in FC. During the preterm period, direct comparisons of MC and FC strength showed a positive linear relationship, which seemed to weaken with development. On the other hand, overlaps between MC- and FC-derived networks (estimated with Mutual Information) increased with age, suggesting a potential convergence towards a shared underlying network structure that may support the co-evolution of microstructural and functional systems. Our study offers novel insights into the dynamic interplay between microstructural and functional brain development and highlights the potential of MC as a complementary descriptor for characterizing brain network development and alterations due to perinatal insults such as premature birth.

Indexed as

BrainChild DevelopmentConnectomeGray MatterInfant, PrematureNerve NetFemaleHumansInfantInfant, NewbornLongitudinal StudiesMagnetic Resonance ImagingMaleNeural Pathwaysbrain network developmentearly neurodevelopmentfunctional connectivitymicrostructural connectivityprematurity

Identifiers

PMID40099852
PMCPMC11915347

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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.