Evidence map›Paper›PMID 39531276›Full record

ArticleJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society2024

Asymmetry of Directed Brain Connectivity at Birth in Low-Risk Full-Term Newborns.

Venkata C Chirumamilla, Sarah B Mulkey, Tayyba Anwar, Robin Baker, G Larry Maxwell, Josepheen De Asis-Cruz, Kushal Kapse, Catherine Limperopoulos, Adre du Plessis, R B Govindan

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In one paragraph

Article in Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

10 authors.

Venkata C ChirumamillaZickler Family Prenatal Pediatrics Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.
Sarah B MulkeyZickler Family Prenatal Pediatrics Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.
Tayyba AnwarDepartment of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, U.S.A.
Robin BakerInova Women's and Children's Hospital, Fairfax, Virginia, U.S.A.
G Larry MaxwellInova Women's and Children's Hospital, Fairfax, Virginia, U.S.A.
Josepheen De Asis-CruzDeveloping Brain Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.; and.
Kushal KapseDeveloping Brain Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.; and.
Catherine LimperopoulosDeveloping Brain Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.; and.
Adre du PlessisZickler Family Prenatal Pediatrics Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.
R B GovindanZickler Family Prenatal Pediatrics Institute, Children's National Hospital, Washington, District of Columbia, U.S.A.

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 TR001876NCATS NIH HHS UL1TR001876, KL2TR001877
6 · The paper itself

Abstract

purposeFunctional connectivity hubs were previously identified at the source level in low-risk full-term newborns by high-density electroencephalography (HD-EEG). However, the directionality of information flow among hubs remains unclear. The aim of this study was to study the directionality of information flow among source level hubs in low-risk full-term newborns using HD-EEG.

methodsA retrospective analysis of HD-EEG collected from a prospective study. Subjects included 112 low-risk full-term (37-41 weeks' gestation) newborns born in a large delivery center and studied within 72 hours of life by HD-EEG. The directionality of information flow between hubs at the source level was quantified using the partial directed coherence in the delta frequency band. Descriptive statistics were used to identify the maximum and minimum information flow. Differences in information flow between cerebral hemispheres were assessed using Student t -test.

resultsThere was higher information flow from the left hemisphere to the right hemisphere hubs ( p < 0.05, t -statistic = 2). The brainstem had the highest information inflow and lowest outflow among all the hubs. The left putamen received the lowest information, and the right pallidum had the highest information outflow to other hubs.

conclusionsIn low-risk full-term newborns, there is a significant information flow asymmetry already present, with left hemisphere dominance at birth. The relationship between these findings and the more prevalent left hemisphere dominance observed in full-term newborns, particularly in relation to language, warrants further study.

Indexed as

BrainElectroencephalographyFunctional LateralityFemaleHumansInfant, NewbornMaleProspective StudiesRetrospective StudiesGranger causalityHigh-density electroencephalographyHub regionsInformation flow asymmetryPartial directed coherenceSource analysis

Identifiers

PMID39531276
PMCPMC12947164

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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.