Evidence map›Paper›PMID 37349403›Full record

ArticleCommunications biology2023

Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure.

Vyacheslav R Karolis, Sean P Fitzgibbon, Lucilio Cordero-Grande, Seyedeh-Rezvan Farahibozorg, Anthony N Price, Emer J Hughes, Ahmed E Fetit, Vanessa Kyriakopoulou, Maximilian Pietsch, Mary A Rutherford and 6 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. The Fronto-Temporal Cortex Has Increased Subcortical Connectivity In Utero and Plasticity in Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  7. Article
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  12. Advances in Fetal Brain Imaging.Magnetic resonance imaging clinics of North America · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
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

16 authors at 5 institutions in 3 countries.

Vyacheslav R KarolisCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. slava.karolis@kcl.ac.uk.ORCID 0000-0003-2074-6910
Sean P FitzgibbonWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Lucilio Cordero-GrandeBiomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.ORCID 0000-0003-1477-304X
Seyedeh-Rezvan FarahibozorgWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Anthony N PriceCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Emer J HughesCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Ahmed E FetitBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK.
Vanessa KyriakopoulouCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-9883-0314
Maximilian PietschCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Mary A RutherfordCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Daniel RueckertBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK.ORCID 0000-0002-5683-5889
Joseph V HajnalCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
A David EdwardsCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-4801-7066
Jonathan O'MuircheartaighCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-8033-6959
Eugene P Duff *Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Tomoki Arichi *Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-3550-1644
King's College London · GBUniversity of Oxford · GBBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESInstitute of Group Analysis · GBTUM Klinikum · DE

Funding

Department of HealthMedical Research Council MR/N026063/1Medical Research Council MR/P008712/1Medical Research Council MR/V036874/1Medical Research Council MR/W006251/1Wellcome TrustWellcome Trust 203139/Z/16/ZWellcome Trust 203148/Z/16/ZWellcome Trust 206675/Z/17/ZWellcome Trust 215573/Z/19/Z
6 · The paper itself

Abstract

A key feature of the fetal period is the rapid emergence of organised patterns of spontaneous brain activity. However, characterising this process in utero using functional MRI is inherently challenging and requires analytical methods which can capture the constituent developmental transformations. Here, we introduce a novel analytical framework, termed "maturational networks" (matnets), that achieves this by modelling functional networks as an emerging property of the developing brain. Compared to standard network analysis methods that assume consistent patterns of connectivity across development, our method incorporates age-related changes in connectivity directly into network estimation. We test its performance in a large neonatal sample, finding that the matnets approach characterises adult-like features of functional network architecture with a greater specificity than a standard group-ICA approach; for example, our approach is able to identify a nearly complete default mode network. In the in-utero brain, matnets enables us to reveal the richness of emerging functional connections and the hierarchy of their maturational relationships with remarkable anatomical specificity. We show that the associative areas play a central role within prenatal functional architecture, therefore indicating that functional connections of high-level associative areas start emerging prior to exposure to the extra-utero environment.

Indexed as

BrainBrain MappingAdultFemaleFetusHumansInfant, NewbornMagnetic Resonance ImagingPregnancy

Identifiers

PMID37349403
PMCPMC10287667
OpenAlexW4381685354

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.