ArticleJournal of behavioral addictions2017
Web addiction in the brain: Cortical oscillations, autonomic activity, and behavioral measures.
Article in Journal of behavioral addictions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The neurobiology of internet addiction: a scoping review of developmental and gender-specific mechanisms.Frontiers in psychology · 2026Pooled it
- Problematic patterns of social media use increase with spontaneous cortical activity and transdiagnostic mental health symptoms in youth.Developmental cognitive neuroscience · 2026Article
- 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 craving among gamers with internet gaming disorder using repeated presentations of game videos: a resting-state electroencephalography study.BMC public health · 2023Article
- Neurocognitive impairment in addiction: A digital tool for executive function assessment.Frontiers in psychiatry · 2022Article
- Association between Internet Use Behavior and Palpitation among Adolescents: A Cross-Sectional Study of Middle School Children from Northwest Romania.International journal of environmental research and public health · 2020Article
- Disrupted resting-state brain functional network in methamphetamine abusers: A brain source space study by EEG.PloS one · 2019Article
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Authors and funding
3 authors.
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Abstract
Background and aims Internet addiction (IA) was recently defined as a disorder tagging both the impulse control and the reward systems. Specifically, inhibitory deficits and reward bias were considered highly relevant in IA. This research aims to examine the electrophysiological correlates and autonomic activity [skin conductance response (SCR) and heart rate] in two groups of young subjects (N = 25), with high or low IA profile [tested by the Internet Addiction Test (IAT)], with specific reference to gambling behavior. Methods Oscillatory brain activity (delta, theta, alpha, beta, and gamma) and autonomic and behavioral measures [response times (RTs) and error rates (ERs)] were acquired during the performance of a Go/NoGo task in response to high-rewarding (online gambling videos and video games) or neutral stimuli. Results A better performance (reduced ERs and reduced RTs) was revealed for high IAT in the case of NoGo trials representing rewarding cues (inhibitory control condition), probably due to a "gain effect" induced by the rewarding condition. In addition, we also observed for NoGo trials related to gambling and video games stimuli that (a) increased low-frequency band (delta and theta) and SCR and (b) a specific lateralization effect (more left-side activity) delta and theta in high IAT. Discussion Both inhibitory control deficits and reward bias effect were considered to explain IA.
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