Neuroanatomical and functional substrates of the short video addiction and its association with brain transcriptomic and cellular architecture

Short video addiction (SVA) has emerged as a growing behavioral and social issue, driven by the widespread use of digital platforms that provide highly engaging, personalized, and brief video content. We investigated the neuroanatomical and functional substrates of SVA symptoms, alongside brain transcriptomic and cellular characteristics, using Inter-Subject Representational Similarity Analysis (IS-RSA) and transcriptomic approaches. Behaviorally, we found that dispositional envy was associated with SVA. Structurally, SVA was positively correlated with increased morphological volumes in the orbitofrontal cortex (OFC) and bilateral cerebellum. Functionally, the dorsolateral prefrontal cortex (DLPFC), posterior cingulate cortex (PCC), cerebellum, and temporal pole (TP) exhibited heightened spontaneous activity, which was positively correlated with SVA severity. Transcriptomic and cellular analyses also showed specific genes linked to gray matter volume (GMV) associated with SVA, with predominant expression in excitatory and inhibitory neurons. These genes showed distinct spatiotemporal expression patterns in the cerebellum during adolescence. This study offers a comprehensive framework integrating structural, functional, and neurochemical evidence to highlight the neural-transcriptomic underpinnings of SVA symptoms in a non-clinical population.

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Publication Details

Journal
NeuroImage
Published
2025-01-16
DOI
https://doi.org/10.1016/j.neuroimage.2025.121029
Citations
22
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
12.71

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article

Neuroanatomical and functional substrates of the short video addiction and its association with brain transcriptomic and cellular architecture

Pinchun Wang, Qiong Yao, Qinghua He, Wei Ge et al.
22 citations
NeuroImage
Tryptophan and brain disorders
12.71
article

Neuroanatomical and functional substrates of the short video addiction and its association with brain transcriptomic and cellular architecture

Pinchun Wang, Qiong Yao, Qinghua He, Wei Ge, Hohjin Im, Guang Wei Zhao, Xin Niu, Chang Liu, Qiang Wang, Manman Zhang, Ying Hu, Wenwei Zhu, Yuanyuan Gao, Jinlian Wang, Weipeng Jin
article en
22 citations

Abstract

Short video addiction (SVA) has emerged as a growing behavioral and social issue, driven by the widespread use of digital platforms that provide highly engaging, personalized, and brief video content. We investigated the neuroanatomical and functional substrates of SVA symptoms, alongside brain transcriptomic and cellular characteristics, using Inter-Subject Representational Similarity Analysis (IS-RSA) and transcriptomic approaches. Behaviorally, we found that dispositional envy was associated with SVA. Structurally, SVA was positively correlated with increased morphological volumes in the orbitofrontal cortex (OFC) and bilateral cerebellum. Functionally, the dorsolateral prefrontal cortex (DLPFC), posterior cingulate cortex (PCC), cerebellum, and temporal pole (TP) exhibited heightened spontaneous activity, which was positively correlated with SVA severity. Transcriptomic and cellular analyses also showed specific genes linked to gray matter volume (GMV) associated with SVA, with predominant expression in excitatory and inhibitory neurons. These genes showed distinct spatiotemporal expression patterns in the cerebellum during adolescence. This study offers a comprehensive framework integrating structural, functional, and neurochemical evidence to highlight the neural-transcriptomic underpinnings of SVA symptoms in a non-clinical population.

NeuroImageVol. 307
Southwest University (CN), Tianjin Normal University (CN), University of California, Los Angeles (US), Hefei Normal University (CN), South China Normal University (CN), Tianjin Huanhu Hospital (CN), Film Independent (US)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin-Science and Technology Correspondent Project
Good health and well-being
Openalex Percentile: Top 1%
Tryptophan and brain disorders
12.71
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