Evidence map›Paper›PMID 33610096›Full record

ArticleNeuroImage. Clinical2021

Extremely preterm children demonstrate hyperconnectivity during verb generation: A multimodal approach.

Maria E Barnes-Davis, Stephanie L Merhar, Scott K Holland, Nehal A Parikh, Darren S Kadis

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Maria E Barnes-DavisCincinnati Children's Hospital Medical Center, Perinatal Institute, United States; University of Cincinnati, Department of Pediatrics, United States; University of Cincinnati, Department of Neuroscience, United States. Electronic address: maria.barnes@cchmc.org.
Stephanie L MerharCincinnati Children's Hospital Medical Center, Perinatal Institute, United States; University of Cincinnati, Department of Pediatrics, United States.
Scott K HollandMedpace Imaging Core Laboratory, Medpace Inc., United States; University of Cincinnati, Department of Physics, United States.
Nehal A ParikhCincinnati Children's Hospital Medical Center, Perinatal Institute, United States; University of Cincinnati, Department of Pediatrics, United States.
Darren S KadisHospital for Sick Children and University of Toronto are in Toronto, Canada; University of Toronto, Department of Physiology, Canada.

Funding

Pediatric Center--Gene Expression /Developmental ScienceK12HD028827 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Tina Lee Cheng · 2002 to 2026
$9.6M
KL2 Training ProgramKL2TR001426 · NCATS · UNIVERSITY OF CINCINNATI · PI ZELLER, MARGARET H · 2015 to 2024
$6.8M
A New Model to Identify Preterm Neonates at High-Risk for Cognitive Impairments and School ReadinessR01NS094200 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI NEHAL A. PARIKH · 2016 to 2026
$6.7M
Early Prediction of Cerebral Palsy in Premature Infants using Advanced MRI BiomarkersR01NS096037 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI PARIKH, NEHAL A. · 2016 to 2020
$2.2M
NCATS NIH HHS KL2 TR001426NICHD NIH HHS K12 HD028827NINDS NIH HHS R01 NS094200NINDS NIH HHS R01 NS096037
6 · The paper itself

Abstract

Children born extremely preterm (EPT, <28 weeks gestation) are at risk for delays in development, including language. We use fMRI-constrained magnetoencephalography (MEG) during a verb generation task to assess the extent and functional connectivity (phase locking value, or PLV) of language networks in a large cohort of EPT children and their term comparisons (TC). 73 participants, aged 4 to 6 years, were enrolled (42 TC, 31 EPT). There were no significant group differences in age, sex, race, ethnicity, parental education, or family income. There were significant group differences in expressive language scores (p < 0.05). Language representation was not significantly different between groups on fMRI, with task-specific activation involving bilateral temporal and left inferior frontal cortex. There were group differences in functional connectivity seen in MEG. To identify a possible subnetwork contributing to focal spectral differences in connectivity, we ran Network Based Statistics analyses. For both beta (20-25 Hz) and gamma (61-70 Hz) bands, we observed a subnetwork showing hyperconnectivity in the EPT group (p < 0.05). Network strength was computed for the beta and gamma subnetworks and assessed for correlation with language performance. For the EPT group exclusively, strength of the subnetwork identified in the gamma frequency band was positively correlated with expressive language scores (r = 0.318, p < 0.05). Thus, hyperconnectivity is positively related to language for EPT children and might represent a marker for resiliency in this population.

Indexed as

Brain MappingInfant, Extremely PrematureChildHumansInfant, NewbornLanguageMagnetic Resonance ImagingMagnetoencephalographyConnectivityFunctional MRILanguageMagnetoencephalographyPrematurity

Identifiers

PMID33610096
PMCPMC7903004

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.