Evidence map›Paper›PMID 26844269›Full record

ArticleEBioMedicine2015

State-Dependent Differences in Functional Connectivity in Young Children With Autism Spectrum Disorder.

Ashura W Buckley, Rod Scott, Anna Tyler, J Matthew Mahoney, Audrey Thurm, Cristan Farmer, Susan Swedo, Scott A Burroughs, Gregory L Holmes

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Why is everyone talking about brain state?Trends in neurosciences · 2023
    Review
  8. Article
  9. Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Functional brain connectivity in electrical status epilepticus in sleep.Epileptic disorders : international epilepsy journal with videotape · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ashura W BuckleyNational Institute of Mental Health, National Institutes of Health, 10 Center Drive, Room 1C250, Bethesda, MD 20892, USA.
Rod ScottDepartment of Neurological Sciences, University of Vermont College of Medicine, Burlington, VT 05405, USA.
Anna TylerDepartment of Neurological Sciences, University of Vermont College of Medicine, Burlington, VT 05405, USA.
J Matthew MahoneyDepartment of Neurological Sciences, University of Vermont College of Medicine, Burlington, VT 05405, USA.
Audrey ThurmNational Institute of Mental Health, National Institutes of Health, 10 Center Drive, Room 1C250, Bethesda, MD 20892, USA.
Cristan FarmerNational Institute of Mental Health, National Institutes of Health, 10 Center Drive, Room 1C250, Bethesda, MD 20892, USA.
Susan SwedoNational Institute of Mental Health, National Institutes of Health, 10 Center Drive, Room 1C250, Bethesda, MD 20892, USA.
Scott A BurroughsDepartment of Neurological Sciences, University of Vermont College of Medicine, Burlington, VT 05405, USA.
Gregory L HolmesNational Institute of Mental Health, National Institutes of Health, 10 Center Drive, Room 1C250, Bethesda, MD 20892, USA.

Funding

Treatment of Medical Conditions among Individuals with Autism Spectrum DisordersZIAMH002914 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SWEDO, SUSAN · 2009 to 2016
$3.8M
Network Abnormalities in AutismR03MH108915 · NIMH · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HOLMES, GREGORY L. · 2016 to 2017
$155k
Intramural NIH HHSNIMH NIH HHS R03 MH108915
6 · The paper itself

Abstract

backgroundWhile there is increasing evidence of altered brain connectivity in autism, the degree and direction of these alterations in connectivity and their uniqueness to autism has not been established. The aim of the present study was to compare connectivity in children with autism to that of typically developing controls and children with developmental delay without autism.

methodsWe assessed EEG spectral power, coherence, phase lag, Pearson and partial correlations, and epileptiform activity during the awake, slow wave sleep, and REM sleep states in 137 children aged 2 to 6 years with autism (n = 87), developmental delay without autism (n = 21), or typical development (n = 29).

findingsWe found that brain connectivity, as measured by coherence, phase lag, and Pearson and partial correlations distinguished children with autism from both neurotypical and developmentally delayed children. In general, children with autism had increased coherence which was most prominent during slow wave sleep.

interpretationFunctional connectivity is distinctly different in children with autism compared to samples with typical development and developmental delay without autism. Differences in connectivity in autism are state and region related. In this study, children with autism were characterized by a dynamically evolving pattern of altered connectivity.

Indexed as

Autism Spectrum DisorderBrainBrain WavesChildChild, PreschoolElectroencephalographyFemaleHumansMaleSleep StagesSupport Vector MachineCoherenceEEGEpilepsyEpileptiformPearsonPower spectral analysis

Identifiers

PMID26844269
PMCPMC4703709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.