Neural, psychological, and transcriptomic predictors of short video addiction: A multi-site longitudinal study of fear of missing out and negative affect

Short video addiction symptoms (SVAS) have become increasingly prevalent, yet their longitudinal neurobiological basis remains unclear. In a multi-site longitudinal study (n = 280), we examined whether baseline brain features and dispositional traits-negative affect (NA) and fear of missing out (FoMO)-predict future SVAS. Participants completed self-report measures and MRI scans at baseline, with follow-up assessments conducted after 5 months to 5 years. Behaviorally, both baseline and follow-up NA and FoMO significantly predicted SVAS. Structurally, baseline gray matter volume (GMV) in the frontal-parietal network (FPN), default mode network (DMN), and hippocampal morphological patterns predicted follow-up SVAS severity. Functionally, baseline regional homogeneity (ReHo) in the FPN, DMN, ventral attention network (VAN), and sensorimotor network (SMN) also predicted SVAS. Parallel multiple mediation analyses revealed a dissociable neural architecture: hippocampal morphological patterns predicted SVAS via the unique indirect effect of follow-up FoMO, whereas DMN functional profiles (e.g., ReHo) predicted SVAS via follow-up NA. Notably, the VAN served as an integrative hub, exerting its influence via the unique indirect effects of both follow-up NA and FoMO. Transcriptomic analyses linked SVAS-related ReHo to two gene sets, namely positively correlated (SVAS-ReHo⁺) and negatively correlated (SVAS-ReHo⁻) genes. SVAS-ReHo⁺ genes were enriched in RNA processing and vascular signaling and expressed in endothelial cells; SVAS-ReHo⁻ genes were enriched in synaptic transmission and expressed in excitatory and inhibitory neurons. Spatial-temporal patterns showed SVAS-ReHo⁺ genes were expressed in subcortical regions across adolescence, whereas SVAS-ReHo⁻ genes were prominent in cortical-limbic areas during postnatal development. Functional decoding linked SVAS-ReHo⁺ genes to sensorimotor function and metabolism, and SVAS-ReHo⁻ genes to emotion and psychiatric risk. Together, these findings highlight dissociable structural, functional, and molecular pathways through which FoMO and NA contribute to short video addiction development.

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Publication Details

Journal
NeuroImage
Published
2025-11-21
DOI
https://doi.org/10.1016/j.neuroimage.2025.121605
Citations
2
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
8.40
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article

Neural, psychological, and transcriptomic predictors of short video addiction: A multi-site longitudinal study of fear of missing out and negative affect

Pinchun Wang, Zhang Zong, Yuyang Zeng, Hanbing Li et al.
2 citations
NeuroImage
Impact of Technology on Adolescents
8.40
article

Neural, psychological, and transcriptomic predictors of short video addiction: A multi-site longitudinal study of fear of missing out and negative affect

Pinchun Wang, Zhang Zong, Yuyang Zeng, Hanbing Li, Chang Liu, Qiang Wang, Weipeng Jin, Qianyi Shangguan
article en
2 citations

Abstract

Short video addiction symptoms (SVAS) have become increasingly prevalent, yet their longitudinal neurobiological basis remains unclear. In a multi-site longitudinal study (n = 280), we examined whether baseline brain features and dispositional traits-negative affect (NA) and fear of missing out (FoMO)-predict future SVAS. Participants completed self-report measures and MRI scans at baseline, with follow-up assessments conducted after 5 months to 5 years. Behaviorally, both baseline and follow-up NA and FoMO significantly predicted SVAS. Structurally, baseline gray matter volume (GMV) in the frontal-parietal network (FPN), default mode network (DMN), and hippocampal morphological patterns predicted follow-up SVAS severity. Functionally, baseline regional homogeneity (ReHo) in the FPN, DMN, ventral attention network (VAN), and sensorimotor network (SMN) also predicted SVAS. Parallel multiple mediation analyses revealed a dissociable neural architecture: hippocampal morphological patterns predicted SVAS via the unique indirect effect of follow-up FoMO, whereas DMN functional profiles (e.g., ReHo) predicted SVAS via follow-up NA. Notably, the VAN served as an integrative hub, exerting its influence via the unique indirect effects of both follow-up NA and FoMO. Transcriptomic analyses linked SVAS-related ReHo to two gene sets, namely positively correlated (SVAS-ReHo⁺) and negatively correlated (SVAS-ReHo⁻) genes. SVAS-ReHo⁺ genes were enriched in RNA processing and vascular signaling and expressed in endothelial cells; SVAS-ReHo⁻ genes were enriched in synaptic transmission and expressed in excitatory and inhibitory neurons. Spatial-temporal patterns showed SVAS-ReHo⁺ genes were expressed in subcortical regions across adolescence, whereas SVAS-ReHo⁻ genes were prominent in cortical-limbic areas during postnatal development. Functional decoding linked SVAS-ReHo⁺ genes to sensorimotor function and metabolism, and SVAS-ReHo⁻ genes to emotion and psychiatric risk. Together, these findings highlight dissociable structural, functional, and molecular pathways through which FoMO and NA contribute to short video addiction development.

NeuroImageVol. 323
Tianjin Normal University (CN), Tianjin Huanhu Hospital (CN)
Openalex Percentile: Top 3%
Impact of Technology on Adolescents
8.40
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