Evidence map›Paper›PMID 38141125›Full record

ArticleBrain topography2024

Exploring the Association Between EEG Microstates During Resting-State and Error-Related Activity in Young Children.

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

Open access · hybridAbstract read
In one paragraph

Article in Brain topography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Armen BagdasarovDepartment of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA. armen.bagdasarov@duke.edu.ORCID 0000-0001-9775-7787
Kenneth RobertsDuke Institute for Brain Sciences, Duke University, 308 Research Drive, Durham, NC, USA.ORCID 0000-0002-8033-0864
Denis BrunetDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland.
Christoph M MichelDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland.ORCID 0000-0003-3426-5739
Michael S GaffreyDepartment of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA.ORCID 0000-0002-9334-1079
Duke University · USUniversity of Geneva · CHChildren's Hospital of Wisconsin · US

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 MH110488NIMH NIH HHS R01MH110488
6 · The paper itself

Abstract

The error-related negativity (ERN) is a negative deflection in the electroencephalography (EEG) waveform at frontal-central scalp sites that occurs after error commission. The relationship between the ERN and broader patterns of brain activity measured across the entire scalp that support error processing during early childhood is unclear. We examined the relationship between the ERN and EEG microstates - whole-brain patterns of dynamically evolving scalp potential topographies that reflect periods of synchronized neural activity - during both a go/no-go task and resting-state in 90, 4-8-year-old children. The mean amplitude of the ERN was quantified during the -64 to 108 millisecond (ms) period of time relative to error commission, which was determined by data-driven microstate segmentation of error-related activity. We found that greater magnitude of the ERN associated with greater global explained variance (GEV; i.e., the percentage of total variance in the data explained by a given microstate) of an error-related microstate observed during the same -64 to 108 ms period (i.e., error-related microstate 3), and to greater anxiety risk as measured by parent-reported behavioral inhibition. During resting-state, six data-driven microstates were identified. Both greater magnitude of the ERN and greater GEV values of error-related microstate 3 associated with greater GEV values of resting-state microstate 4, which showed a frontal-central scalp topography. Source localization results revealed overlap between the underlying neural generators of error-related microstate 3 and resting-state microstate 4 and canonical brain networks (e.g., ventral attention) known to support the higher-order cognitive processes involved in error processing. Taken together, our results clarify how individual differences in error-related and intrinsic brain activity are related and enhance our understanding of developing brain network function and organization supporting error processing during early childhood.

Indexed as

BrainElectroencephalographyRestBrain MappingChildChild, PreschoolEvoked PotentialsFemaleHumansMaleReaction TimeChildrenEEG microstatesError-related negativityPerformance monitoringResting-state networksSource localization

Identifiers

PMID38141125
PMCPMC11199242
OpenAlexW4390144817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.