Evidence map›Paper›PMID 37873867›Full record

ArticleHuman brain mapping2023

EEG microstates in early-to-middle childhood show associations with age, biological sex, and alpha power.

Aron T Hill, Neil W Bailey, Reza Zomorrodi, Itay Hadas, Melissa Kirkovski, Sushmit Das, Jarrad A G Lum, Peter G Enticott

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

8 authors at 7 institutions in 3 countries.

Aron T HillCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Neil W BaileyMonarch Research Institute, Monarch Mental Health Group, Sydney, Australia.
Reza ZomorrodiTemerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada.
Itay HadasDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA.
Melissa KirkovskiCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Sushmit DasAzrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Canada.
Jarrad A G LumCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Peter G EnticottCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Deakin University · AUCentre for Addiction and Mental Health · CAMonarch Media (United States) · USMonash University · AUUniversity of California San Diego · USUniversity of Toronto · CAVictoria University · AU

Funding

Australian Research Council
6 · The paper itself

Abstract

Electroencephalographic (EEG) microstates can provide a unique window into the temporal dynamics of large-scale brain networks across brief (millisecond) timescales. Here, we analysed fundamental temporal features of microstates extracted from the broadband EEG signal in a large (N = 139) cohort of children spanning early-to-middle childhood (4-12 years of age). Linear regression models were used to examine if participants' age and biological sex could predict the temporal parameters GEV, duration, coverage, and occurrence, for five microstate classes (A-E) across both eyes-closed and eyes-open resting-state recordings. We further explored associations between these microstate parameters and posterior alpha power after removal of the 1/f-like aperiodic signal. The microstates obtained from our neurodevelopmental EEG recordings broadly replicated the four canonical microstate classes (A to D) frequently reported in adults, with the addition of the more recently established microstate class E. Biological sex served as a significant predictor in the regression models for four of the five microstate classes (A, C, D, and E). In addition, duration and occurrence for microstate E were both found to be positively associated with age for the eyes-open recordings, while the temporal parameters of microstates C and E both exhibited associations with alpha band spectral power. Together, these findings highlight the influence of age and sex on large-scale functional brain networks during early-to-middle childhood, extending understanding of neural dynamics across this important period for brain development.

Indexed as

BrainElectroencephalographyAdultBrain MappingChildEyeHumansLinear Modelsagealpha powerbiological sexbrain networksEEGmicrostatesneurodevelopmentneuroimaging

Identifiers

PMID37873867
PMCPMC10681660
OpenAlexW4387893716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.