Sex-dominant differences in resting-state EEG microstates among young adults at risk of smartphone addiction

Background Smartphone addiction (SA) is increasing, but sex-sensitive neurophysiological markers for assessment and follow-up remain limited. Methods In a balanced 2 × 2 design (sex × group; N = 120), young adults had resting-state EEG. Microstates A–D were extracted from GFP peaks using polarity-insensitive k-means ( k = 4). Individual metrics (mean duration, occurrence, coverage, GEV) were compared using two-way ANOVA with FDR control ( q = 0.05). Results Sex effects outperformed group effects. Females had higher microstate C metrics—duration: F (1, 116) = 12.84, p = 0.001, ηp 2 = 0.100; coverage: F (1, 116) = 14.21, p < 0.001, ηp 2 = 0.109; occurrence: F (1, 116) = 9.02, p = 0.003, ηp 2 = 0.072, while males had higher microstate D metrics—coverage: F (1, 116) = 7.01, p = 0.009, ηp 2 = 0.057; occurrence: F (1, 116) = 16.82, p < 0.001, ηp 2 = 0.127; duration did not differ ( p > 0.05). These patterns remained FDR-significant at q = 0.05. Conclusion Resting EEG microstates reveal sex-dominant dynamics associated with salience (C) and dorsal attention (D) processes in SA with high impulsivity, indicating the need for sex-sensitive screening and follow-up in addition to questionnaires.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2026-04-27
DOI
https://doi.org/10.3389/fnhum.2026.1714498
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00

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article

Sex-dominant differences in resting-state EEG microstates among young adults at risk of smartphone addiction

Yingying Zeng, Hui Liu, Qin Liu, Jun Chen et al.
Frontiers in Human Neuroscience
Impact of Technology on Adolescents
article

Sex-dominant differences in resting-state EEG microstates among young adults at risk of smartphone addiction

Yingying Zeng, Hui Liu, Qin Liu, Jun Chen, Danfeng Yu, Bo Yang
article en

Abstract

Background Smartphone addiction (SA) is increasing, but sex-sensitive neurophysiological markers for assessment and follow-up remain limited. Methods In a balanced 2 × 2 design (sex × group; N = 120), young adults had resting-state EEG. Microstates A–D were extracted from GFP peaks using polarity-insensitive k-means ( k = 4). Individual metrics (mean duration, occurrence, coverage, GEV) were compared using two-way ANOVA with FDR control ( q = 0.05). Results Sex effects outperformed group effects. Females had higher microstate C metrics—duration: F (1, 116) = 12.84, p = 0.001, ηp 2 = 0.100; coverage: F (1, 116) = 14.21, p < 0.001, ηp 2 = 0.109; occurrence: F (1, 116) = 9.02, p = 0.003, ηp 2 = 0.072, while males had higher microstate D metrics—coverage: F (1, 116) = 7.01, p = 0.009, ηp 2 = 0.057; occurrence: F (1, 116) = 16.82, p < 0.001, ηp 2 = 0.127; duration did not differ ( p > 0.05). These patterns remained FDR-significant at q = 0.05. Conclusion Resting EEG microstates reveal sex-dominant dynamics associated with salience (C) and dorsal attention (D) processes in SA with high impulsivity, indicating the need for sex-sensitive screening and follow-up in addition to questionnaires.

Frontiers in Human NeuroscienceVol. 20
Hubei University of Medicine (CN)
Hubei Provincial Department of Education, Natural Science Foundation of Hubei Province, Hubei University of Medicine, Hubei University
Openalex Percentile: Top 9%
Impact of Technology on Adolescents
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