Evidence map›Paper›PMID 29992470›Full record

ArticleBrain structure & function2018

Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?

Elveda Gozdas, Nehal A Parikh, Stephanie L Merhar, Jean A Tkach, Lili He, Scott K Holland

Open access · greenAbstract read
In one paragraph

Article in Brain structure & function, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Altered connectivity and network efficiency in preterm infants.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  12. The Evolving Cerebellar and Cerebello-cortical Functional Connectivity Architecture during Infancy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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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

6 authors at 3 institutions in 1 country.

Elveda GozdasDepartment of Physics, University of Cincinnati, Cincinnati, OH, USA.
Nehal A ParikhDepartment of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Stephanie L MerharDepartment of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Jean A TkachImaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Lili HeDepartment of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Scott K HollandDepartment of Physics, University of Cincinnati, Cincinnati, OH, USA. Scott.Holland@aya.yale.edu.
Cincinnati Children's Hospital Medical Center · USMedpace (United States) · USNationwide Children's Hospital · US

Funding

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
National Institute of Neurological Disorders and Stroke 5R01-NS094200NINDS NIH HHS R01 NS094200NINDS NIH HHS R01 NS096037
6 · The paper itself

Abstract

Very preterm infants (≤ 31 weeks gestational age) are at high risk for brain injury and delayed development. Applying functional connectivity and graph theory methods to resting state MRI data (fcMRI), we tested the hypothesis that preterm infants would demonstrate alterations in connectivity measures both globally and in specific networks related to motor, language and cognitive function, even when there is no anatomical imaging evidence of injury. Fifty-one healthy full-term controls and 24 very preterm infants without significant neonatal brain injury, were evaluated at term-equivalent age with fcMRI. Preterm subjects showed lower functional connectivity from regions associated with motor, cognitive, language and executive function, than term controls. Examining brain networks using graph theory measures of functional connectivity, very preterm infants also exhibited lower rich-club coefficient and assortativity but higher small-worldness and no significant difference in modularity when compared to term infants. The findings provide evidence that functional connectivity exhibits deficits soon after birth in very preterm infants in key brain networks responsible for motor, language and executive functions, even in the absence of anatomical lesions. These functional network measures could serve as prognostic biomarkers for later developmental disabilities and guide decisions about early interventions.

Indexed as

ConnectomeCognitionCognitive DysfunctionCohort StudiesCross-Sectional StudiesExecutive FunctionFemaleGestational AgeHumansInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleMotor CortexMotor DisordersNerve NetBrainConnectivityfMRIImagingNeonatalPremature infant

Identifiers

PMID29992470
PMCPMC6892636
OpenAlexW2878291264

What OpenQuestion holds

Textmetadata
LicenceTDM
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.