Evidence map›Paper›PMID 23727317›Full record

ArticleNeuroImage2013

Intrinsic connectivity network mapping in young children during natural sleep.

Janessa H Manning, Eric Courchesne, Peter T Fox

Abstract read
In one paragraph

Article in NeuroImage, 2013. 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
0.5field-weighted citation impact, top 36% 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, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Sex Differences in the Amygdala Resting-State Connectome of Children With Autism Spectrum Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2020
    Article
  6. Article
  7. Article
  8. Memory-related hippocampal activation in the sleeping toddler.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. Article
  10. Article
  11. Functional Connectivity of the Amygdala Is Disrupted in Preschool-Aged Children With Autism Spectrum Disorder.Journal of the American Academy of Child and Adolescent Psychiatry · 2016
    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

3 authors at 3 institutions in 1 country.

Janessa H ManningResearch Imaging Institute, University of Texas Health Science Center, 7703 Floyd Curl Dr., San Antonio, TX 78229, USA. Electronic address: manningj@uthscsa.edu.
Eric Courchesne
Peter T Fox
South Texas Veterans Health Care System · USThe University of Texas Health Science Center at San Antonio · USUniversity of California, San Diego · US

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
TARGETING GENETIC PATHWAYS FOR BRAIN OVERGROWTH IN AUTISM SPECTRUM DISORDERSP50MH081755 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 2007 to 2013
$10.3M
INVESTIGATON OF COGNITIVE DYSFUNCTION IN AUTISMR01MH036840 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 1985 to 2011
$5.9M
Development of a Cognitive Paradigm Ontology: BrainMap and BIRN IntergrationR01MH084812 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON, TURNER, JESS · 2009 to 2011
$869k
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
NCRR NIH HHS RR024387NIMH NIH HHS MH074457NIMH NIH HHS MH084812NIMH NIH HHS P50 MH081755NIMH NIH HHS P50-MH081755NIMH NIH HHS R01 MH036840NIMH NIH HHS R01-MH036840NIMH NIH HHS R01 MH074457NIMH NIH HHS R01 MH084812NIMH NIH HHS R56 MH074457
6 · The paper itself

Abstract

Structural and functional neuroimaging have substantively informed the pathophysiology of numerous adult neurological and psychiatric disorders. While structural neuroimaging is readily acquired in sedated young children, pediatric application of functional neuroimaging has been limited by the behavioral demands of in-scanner task performance. Here, we investigated whether functional magnetic resonance imaging (fMRI) acquired during natural sleep and without experimental stimulation offers a viable strategy for studying young children. We targeted the lengthy epoch of non-rapid eye movement, stage 3 (NREM3) sleep typically observed at sleep onset in sleep-deprived children. Seven healthy, preschool-aged children (24-58 months) were studied, acquiring fMRI measurements of cerebral blood flow (CBF) and of intrinsic connectivity networks (ICNs), with concurrent sleep-stage monitoring. ICN data (T2* fMRI) were reliably obtained during NREM3 sleep; CBF data (arterial spin labeled fMRI) were not reliably obtained, as scanner noises disrupted sleep. Applying independent component analysis (ICA) to T2* data, distinct ICNs were observed which corresponded closely with those reported in the adult literature. Notably, a network associated with orthography in adults was not observed, suggesting that ICNs exhibit a developmental trajectory. We conclude that resting-state fMRI obtained in sleep is a promising paradigm for neurophysiological investigations of young children.

Indexed as

Action PotentialsBrainChild, PreschoolConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetPolysomnographyReproducibility of ResultsRestSensitivity and SpecificitySleep Stagesarterial spin labelingASLBiomarkerblood oxygen level dependentBOLDCBFcerebral blood flowEEGelectroencephalogramelectro-oculogramEOGfMRIfunctional magnetic resonance imagingICAindependent component analysisIntrinsic connectivity networkMagnetic resonance imagingnon-rapid eye movementNREMPediatricpediatric-onset neurological disorderPODSleep

Identifiers

PMID23727317
PMCPMC3815484
OpenAlexW2038791150

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.