Evidence map›Paper›PMID 32537627›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain.

Daphna Fenchel, Ralica Dimitrova, Jakob Seidlitz, Emma C Robinson, Dafnis Batalle, Jana Hutter, Daan Christiaens, Maximilian Pietsch, Jakki Brandon, Emer J Hughes and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

46 citing papers in PubMed, 78 citations in OpenAlex.

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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

24 authors at 5 institutions in 3 countries.

Daphna FenchelMRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, UK.
Ralica DimitrovaSackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
Jakob SeidlitzDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA.
Emma C RobinsonDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EU, UK.
Dafnis BatalleSackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
Jana HutterDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Daan ChristiaensDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Maximilian PietschDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Jakki BrandonDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Emer J HughesDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Joanna AllsopDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Camilla O'KeeffeDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Anthony N PriceDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Lucilio Cordero-GrandeDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Andreas SchuhBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, SW7 2AZ, UK.
Antonios MakropoulosBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, SW7 2AZ, UK.
Jonathan Passerat-PalmbachBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, SW7 2AZ, UK.
Jelena BozekFaculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, 10000, Croatia.
Daniel RueckertBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, SW7 2AZ, UK.
Joseph V HajnalDepartment of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, Centre for the Developing Brain, King's College London, London, SE1 7EH, UK.
Armin RaznahanDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA.
Grainne McAlonanMRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, UK.
A David EdwardsMRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, UK.
Jonathan O'MuircheartaighMRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, UK.
King's College London · GBInstitute of Group Analysis · GBNational Institute of Mental Health · USUniversity of Cambridge · GBUniversity of Zagreb · HR

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Medical Research Council MR/K006355/1Medical Research Council MR/LO11530/1Medical Research Council MR/N026063/1Wellcome Trust 203148/Z/16/ZWellcome Trust 206675/Z/17/Z
6 · The paper itself

Abstract

Interruptions to neurodevelopment during the perinatal period may have long-lasting consequences. However, to be able to investigate deviations in the foundation of proper connectivity and functional circuits, we need a measure of how this architecture evolves in the typically developing brain. To this end, in a cohort of 241 term-born infants, we used magnetic resonance imaging to estimate cortical profiles based on morphometry and microstructure over the perinatal period (37-44 weeks postmenstrual age, PMA). Using the covariance of these profiles as a measure of inter-areal network similarity (morphometric similarity networks; MSN), we clustered these networks into distinct modules. The resulting modules were consistent and symmetric, and corresponded to known functional distinctions, including sensory-motor, limbic, and association regions, and were spatially mapped onto known cytoarchitectonic tissue classes. Posterior regions became more morphometrically similar with increasing age, while peri-cingulate and medial temporal regions became more dissimilar. Network strength was associated with age: Within-network similarity increased over age suggesting emerging network distinction. These changes in cortical network architecture over an 8-week period are consistent with, and likely underpin, the highly dynamic processes occurring during this critical period. The resulting cortical profiles might provide normative reference to investigate atypical early brain development.

Indexed as

BrainFemaleHumansInfant, NewbornMagnetic Resonance ImagingMaleNeurogenesisdeveloping brainmorphometric similarity networksmultimodal MRIperinatalstructural covariance

Identifiers

PMID32537627
PMCPMC7673474
OpenAlexW3035354151

What OpenQuestion holds

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LicenceCC BY
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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.