Evidence map›Paper›PMID 36731349›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2023

Functional brain network properties of healthy full-term newborns quantified by scalp and source-reconstructed EEG.

Venkata C Chirumamilla, Laura Hitchings, Sarah B Mulkey, Tayyba Anwar, Robin Baker, G Larry Maxwell, Josepheen De Asis-Cruz, Kushal Kapse, Catherine Limperopoulos, Adre du Plessis and 1 more

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In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Asymmetry of Directed Brain Connectivity at Birth in Low-Risk Full-Term Newborns.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2024
    Article
  4. Brainstem and Deep Gray Nuclei Modulate Brain Network Efficiency in Low-risk Term Newborns.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  5. Association of brain functional connectivity with neurodevelopmental outcomes in healthy full-term newborns.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    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

11 authors at 4 institutions in 1 country.

Venkata C ChirumamillaPrenatal Pediatrics Institute, Children's National Hospital, Washington, DC, USA.
Laura HitchingsPrenatal Pediatrics Institute, Children's National Hospital, Washington, DC, USA.
Sarah B MulkeyPrenatal Pediatrics Institute, Children's National Hospital, Washington, DC, USA; Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA; Department of Neurology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Tayyba AnwarDepartment of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA; Department of Neurology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA; Department of Neurology, Children's National Hospital, Washington, DC, USA.
Robin BakerInova Women's and Children's Hospital, Fairfax, VA, USA; Fairfax Neonatal Associates, Fairfax, VA, USA.
G Larry MaxwellInova Women's and Children's Hospital, Fairfax, VA, USA.
Josepheen De Asis-CruzDeveloping Brain Institute, Children's National Hospital, Washington, DC, USA.
Kushal KapseDeveloping Brain Institute, Children's National Hospital, Washington, DC, USA.
Catherine LimperopoulosDeveloping Brain Institute, Children's National Hospital, Washington, DC, USA; Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, USA.
Adre du PlessisPrenatal Pediatrics Institute, Children's National Hospital, Washington, DC, USA; Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
R B GovindanPrenatal Pediatrics Institute, Children's National Hospital, Washington, DC, USA; Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA. Electronic address: rgovinda@childrensnational.org.
Children's National · USGeorge Washington University · USFairfax Neonatal Associates · USInova Children's Hospital · US

Funding

Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
Clinical and Translational Science Institute at Childrens National-Mentored Career Development CoreKL2TR001877 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI LUBAN, NAOMI L · 2016 to 2020
$2.0M
NCATS NIH HHS KL2 TR001877NCATS NIH HHS UL1 TR001876
6 · The paper itself

Abstract

objectiveIdentifying the functional brain network properties of term low-risk newborns using high-density EEG (HD-EEG) and comparing these properties with those of established functional magnetic resonance image (fMRI) - based networks.

methodsHD-EEG was collected from 113 low-risk term newborns before delivery hospital discharge and within 72 hours of birth. Functional brain networks were reconstructed using coherence at the scalp and source levels in delta, theta, alpha, beta, and gamma frequency bands. These networks were characterized for the global and local network architecture.

resultsSource-level networks in all the frequency bands identified the presence of the efficient small world (small-world propensity (SWP) > 0.6) architecture with four distinct modules linked by hub regions and rich-club (coefficient > 1) topology. The modular regions included primary, association, limbic, paralimbic, and subcortical regions, which have been demonstrated in fMRI studies. In contrast, scalp-level networks did not display consistent small world architecture (SWP < 0.6), and also identified only 2-3 modules in each frequency band.The modular regions of the scalp-network primarily included frontal and occipital regions.

conclusionsOur findings show that EEG sources in low-risk newborns corroborate fMRI-based connectivity results. SIGNIFICANCE: EEG source analysis characterizes functional connectivity at the bedside of low-risk newborn infants soon after birth.

Indexed as

Nerve NetScalpBrainBrain MappingElectroencephalographyHumansInfant, NewbornCoherence analysisGraph theoryLinearly constrained minimum variance beamformerLow-risk term newbornsSource analysis

Identifiers

PMID36731349
PMCPMC9975070
OpenAlexW4317753997

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.