Evidence map›Paper›PMID 28008304›Full record

ArticleFrontiers in neuroscience2016

Structural Brain Network Reorganization and Social Cognition Related to Adverse Perinatal Condition from Infancy to Early Adolescence.

Emma Muñoz-Moreno, Elda Fischi-Gomez, Dafnis Batalle, Cristina Borradori-Tolsa, Elisenda Eixarch, Jean-Philippe Thiran, Eduard Gratacós, Petra S Hüppi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  18. Breakdown of Whole-brain Dynamics in Preterm-born Children.Cerebral cortex (New York, N.Y. : 1991) · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 3 countries.

Emma Muñoz-MorenoFetal i+D, Fetal Medicine Research Center, Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Institut d'Investigacions Biomèdiques August Pi I Sunyer, University of BarcelonaBarcelona, Spain; Experimental 7T MRI Unit, Institut d'Investigacions Biomèdiques August Pi I SunyerBarcelona, Spain.
Elda Fischi-GomezSignal Processing Laboratory 5, École Polytechnique Fédérale de LausanneLausanne, Switzerland; Division of Development and Growth. Department of Pediatrics, University Hospital of GenevaGeneva, Switzerland.
Dafnis BatalleFetal i+D, Fetal Medicine Research Center, Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Institut d'Investigacions Biomèdiques August Pi I Sunyer, University of BarcelonaBarcelona, Spain; Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College LondonLondon, UK.
Cristina Borradori-TolsaDivision of Development and Growth. Department of Pediatrics, University Hospital of Geneva Geneva, Switzerland.
Elisenda EixarchFetal i+D, Fetal Medicine Research Center, Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Institut d'Investigacions Biomèdiques August Pi I Sunyer, University of BarcelonaBarcelona, Spain; Centre for Biomedical Research on Rare DiseasesBarcelona, Spain.
Jean-Philippe ThiranSignal Processing Laboratory 5, École Polytechnique Fédérale de LausanneLausanne, Switzerland; Department of Radiology, University Hospital Center and University of LausanneLausanne, Switzerland.
Eduard GratacósFetal i+D, Fetal Medicine Research Center, Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Institut d'Investigacions Biomèdiques August Pi I Sunyer, University of BarcelonaBarcelona, Spain; Centre for Biomedical Research on Rare DiseasesBarcelona, Spain.
Petra S HüppiDivision of Development and Growth. Department of Pediatrics, University Hospital of Geneva Geneva, Switzerland.
University Hospital of Geneva · CHCentre for Biomedical Network Research on Rare Diseases · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESÉcole Polytechnique Fédérale de Lausanne · CHHospital Sant Joan de Déu Barcelona · ESUniversitat de Barcelona · ESUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse conditions during fetal life have been associated to both structural and functional changes in neurodevelopment from the neonatal period to adolescence. In this study, connectomics was used to assess the evolution of brain networks from infancy to early adolescence. Brain network reorganization over time in subjects who had suffered adverse perinatal conditions is characterized and related to neurodevelopment and cognition. Three cohorts of prematurely born infants and children (between 28 and 35 weeks of gestational age), including individuals with a birth weight appropriated for gestational age and with intrauterine growth restriction (IUGR), were evaluated at 1, 6, and 10 years of age, respectively. A common developmental trajectory of brain networks was identified in both control and IUGR groups: network efficiencies of the fractional anisotropy (FA)-weighted and normalized connectomes increase with age, which can be related to maturation and myelination of fiber connections while the number of connections decreases, which can be associated to an axonal pruning process and reorganization. Comparing subjects with or without IUGR, a similar pattern of network differences between groups was observed in the three developmental stages, mainly characterized by IUGR group having reduced brain network efficiencies in binary and FA-weighted connectomes and increased efficiencies in the connectome normalized by its total connection strength (FA). Associations between brain networks and neurobehavioral impairments were also evaluated showing a relationship between different network metrics and specific social cognition-related scores, as well as a higher risk of inattention/hyperactivity and/or executive functional disorders in IUGR children.

Indexed as

birth weightconnectomeexecutive functionintrauterine growth retardationneurodevelopmentpreterm infants

Identifiers

PMID28008304
PMCPMC5143343
OpenAlexW2560575011

What OpenQuestion holds

Textmetadata
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.