ArticleJournal of behavioral addictions2020
Altered brain network topology related to working memory in internet addiction.
Article in Journal of behavioral addictions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuropsychological Deficits in Disordered Screen Use Behaviours: A Systematic Review and Meta-analysis.Neuropsychology review · 2024Pooled it
- Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.Psychological medicine · 2025Article
- Article
- The impact of smartphone use on working memory in college students: a functional near-infrared spectroscopy study.Frontiers in psychiatry · 2025Article
- Altered individual gray matter structural covariance networks in early abstinence patients with alcohol dependence.Brain imaging and behavior · 2024Article
- Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study.Journal of behavioral addictions · 2024Article
- Measurement of the problematic usage of the Internet unidimensional quasitrait continuum with item response theory.Psychological assessment · 2021Article
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4 authors.
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Abstract
BACKGROUND AND
aimsThe working memory (WM) ability of internet addicts and the topology underlying the WM processing in internet addiction (IA) are poorly understood. In this study, we employed a graph theoretical framework to characterize the topological properties of the IA brain network in the source cortical space during WM task.
methodsA sample of 24 subjects with IA and 23 matched healthy controls (HCs) performed visual 2-back task. Exact Low Resolution Electromagnetic Tomography was adopted to project the pre-processed EEG signals into source space. Subsequently, Lagged phase synchronization was calculated between all pairs of Brodmann areas, the graph theoretical approaches were then employed to estimate the brain topological properties of all participants during the WM task.
resultsWe found better WM behavioral performance in IA subjects compared with the HCs. Moreover, compared to the HC group, more integrated and hierarchical brain network was revealed in the IA subjects in alpha band. And altered regional centrality was mainly resided in frontal and limbic lobes. In addition, significant relationships between the IA severity and the significant altered graph indices were found.
conclusionsIn conclusion, these findings provide evidence to support the notion that altered topological configuration may underline changed WM function observed in IA.
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