Evidence map›Paper›PMID 41635815›Full record

ArticlePeerJ2026

The temporal dynamics of resting-state EEG microstates reflected the differences in socioeconomic status among college students.

Qidan Ren, Fangfang Long, Yunlu Xie, Huiling Chen, Ying Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. 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

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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

5 authors.

Qidan Ren *School of Psychology, Guizhou Normal University, Guiyang, Guizhou, China.
Fangfang Long *School of Psychology, Guizhou Normal University, Guiyang, Guizhou, China.
Yunlu XieSchool of Psychology, Guizhou Normal University, Guiyang, Guizhou, China.
Huiling ChenSchool of Psychology, Guizhou Normal University, Guiyang, Guizhou, China.
Ying JiangSchool of Psychology, Guizhou Normal University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Socioeconomic status (SES) is a distal ecological factor that predicts the trajectory of human development. Exposure to low SES may have lasting effects on brain structure and function. Although prior research has identified static neural correlates of SES disparities, it remains unclear how socioeconomic contexts shape dynamic brain states. Therefore, the present study employs electroencephalography (EEG) microstate analysis to investigate how SES influences the dynamics of resting-state brain activity. Methods: Based on SES scores, participants in the top and bottom 27% were categorized as the high-SES group ( Results: (1) The correlation between SES and the temporal characteristics of both microstates A ( Conclusion: These findings reveal a robust association between SES disparities and spatiotemporal EEG microstate dynamics. The reconfiguration of metastable brain states may represent the way the brain responds to challenging environments.

Indexed as

BrainElectroencephalographySocial ClassStudentsAdultFemaleHumansLow Socioeconomic StatusMaleSocioeconomic Disparities in HealthUniversitiesYoung AdultBrain dynamicsEEG microstateLarge-scale neural networkResting-stateSocioeconomic status

Identifiers

PMID41635815
PMCPMC12863152

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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.