Evidence map›Paper›PMID 27330980›Full record

ArticleNeuroImage. Clinical2016

Disconnected neuromagnetic networks in children born very preterm: Disconnected MEG networks in preterm children.

Annette X Ye, Michelle AuCoin-Power, Margot J Taylor, Sam M Doesburg

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Children Born Prematurely May Demonstrate Catch-Up Growth in Pre-Adolescence.Language, speech, and hearing services in schools · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Breakdown of Whole-brain Dynamics in Preterm-born Children.Cerebral cortex (New York, N.Y. : 1991) · 2020
    Article
  10. Review
  11. Article
  12. Article
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

4 authors at 4 institutions in 1 country.

Annette X YeDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Neurosciences and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Michelle AuCoin-PowerDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Margot J TaylorDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Neurosciences and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Toronto, Ontario, Canada; Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada; Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada.
Sam M DoesburgDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Vancouver, British Columbia, Canada; Behavioural and Cognitive Neuroscience Institute, Simon Fraser University, Vancouver, British Columbia, Canada.
Hospital for Sick Children · CAMental Health Research Canada · CASimon Fraser University · CAUniversity of Toronto · CA

Funding

CIHR MOP-119541CIHR MOP-136935CIHR MOP-324530
6 · The paper itself

Abstract

Many children born very preterm (≤32 weeks) experience significant cognitive difficulties, but the biological basis of such problems has not yet been determined. Functional MRI studies have implicated altered functional connectivity; however, little is known regarding the spatiotemporal organization of brain networks in this population. We provide the first examination of resting-state neuromagnetic connectivity mapped in brain space in school age children born very preterm. Thirty-four subjects (age range 7-12 years old), consisting of 17 very preterm-born children and 17 full-term born children were included. Very preterm-born children exhibited global decreases in inter-regional synchrony in all analysed frequency ranges, from theta (4-7 Hz) to high gamma (80-150 Hz; p < 0.01, corrected). These reductions were expressed in spatially and frequency specific brain networks (p < 0.0005, corrected). Our results demonstrate that mapping connectivity with high spatiotemporal resolution offers new insights into altered organization of neurophysiological networks which may contribute to the cognitive difficulties in this vulnerable population.

Indexed as

BrainBrain MappingChildFemaleHumansInfant, Extremely PrematureMagnetoencephalographyMaleNeuropsychological TestsSignal Processing, Computer-AssistedFunctional connectivityMagnetoencephalographyNeural oscillationsPhase synchronyResting stateVery preterm

Identifiers

PMID27330980
PMCPMC4589841
OpenAlexW1904356722

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.