Evidence map›Paper›PMID 35863172›Full record

ArticleDevelopmental cognitive neuroscience2022

Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects.

Armen Bagdasarov, Kenneth Roberts, Lucie Bréchet, Denis Brunet, Christoph M Michel, Michael S Gaffrey

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

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  10. Infant EEG microstate dynamics relate to fine-grained patterns of infant attention during naturalistic play with caregivers.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

6 authors.

Armen BagdasarovDepartment of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC 27708, USA. Electronic address: armen.bagdasarov@duke.edu.
Kenneth RobertsDuke Institute for Brain Sciences, Duke University, 308 Research Drive, Durham, NC, USA.
Lucie BréchetDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland.
Denis BrunetDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland; Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, 1015 Lausanne Switzerland.
Christoph M MichelDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland; Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, 1015 Lausanne Switzerland.
Michael S GaffreyDepartment of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC 27708, USA.

Funding

NEURODEVELOPMENTAL TRAJECTORIES OF REWARD PROCESSING IN VERY EARLY EMERGING RISK FOR DEPRESSIONR01MH110488 · NIMH · WASHINGTON UNIVERSITY · PI GAFFREY, MICHAEL S · 2017 to 2021
$3.3M
NIMH NIH HHS R01 MH110488
6 · The paper itself

Abstract

The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined using resting-state electroencephalography (EEG) microstates, representing transient periods of synchronized neural activity that evolve dynamically over time. In adults, four canonical microstates have been shown to explain most topographic variance in resting-state EEG. Their temporal structures are age-, sex- and state-dependent, and are susceptible to pathological brain states. However, no studies have assessed the spatial and temporal properties of EEG microstates exclusively during early childhood, a critical period of rapid brain development. Here we sought to investigate EEG microstates recorded with high-density EEG in a large sample of 103, 4-8-year-old children. Using data-driven k-means cluster analysis, we show that the four canonical microstates reported in adult populations already exist in early childhood. Using multiple linear regressions, we demonstrate that the temporal dynamics of two microstates are associated with age and sex. Source localization suggests that attention- and cognitive control-related networks govern the topographies of the age- and sex-dependent microstates. These novel findings provide unique insights into functional brain development in children captured with EEG microstates.

Indexed as

AgeBrain developmentChildrenEEG microstatesResting-state networksSex differences

Identifiers

PMID35863172
PMCPMC9301511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.