ArticleBrain sciences2023
Exploring the Impact of Smartphone Addiction on Risk Decision-Making Behavior among College Students Based on fNIRS Technology.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- The neurobiology of internet addiction: a scoping review of developmental and gender-specific mechanisms.Frontiers in psychology · 2026Pooled it
- Clarifying the Association Between Digital Media Engagement and Risk Taking.Technology in society · 2026Article
- The Dose-Response Relationship Between Leisure-Time Physical Activity and Smartphone Addiction in First-Year Tehran University Students: A Cross-Sectional Study.Health science reports · 2026Article
- Relationship between attachment anxiety and attachment avoidance, mentalization ability, and various digital addictions: a cross-sectional study among university students.BMC psychiatry · 2026Article
- The impact of internet addiction on depressive symptoms among college students: the chain mediating roles of psychological resilience and hope.Scientific reports · 2026Article
- Article
- The impact of loneliness on alexithymia among Chinese adolescents: the mediating role of problematic smartphone use and the moderating effect of fear of negative evaluation.BMC public health · 2025Article
- How short video addiction affects risk decision-making behavior in college students based on fNIRS technology.Frontiers in human neuroscience · 2025Article
- Enhancing response inhibition behavior through tDCS intervention in college students with smartphone addiction.Scientific reports · 2024Article
- Image-Acceleration Multimodal Danger Detection Model on Mobile Phone for Phone Addicts.Sensors (Basel, Switzerland) · 2024Article
- The Effects of Digital Addiction on Brain Function and Structure of Children and Adolescents: A Scoping Review.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Smartphone Addiction is a social issue caused by excessive smartphone use, affecting decision-making processes. Current research on the risky decision-making abilities of smartphone addicts is limited. This study used the functional Near-Infrared Spectroscopy (fNIRS) brain imaging technique and a Sequential Risk-Taking Task experimental paradigm to investigate the decision-making behavior and brain activity of smartphone addicts under varying risk levels. Using a mixed experimental design, the research assessed decision-making ability and brain activation levels as dependent variables across two groups (addiction and control), two risk amounts (high and low), and two outcomes (gain and loss). The study included 42 participants, with 25 in the addiction group and 17 in the control group. Results indicated that risk level significantly impacted the decision-making ability of smartphone addicts, with high-risk levels leading to weaker decision-making ability and increased risk-taking. However, at low-risk levels, decision-making abilities between addicts and healthy individuals showed no significant difference. Furthermore, brain imaging results using fNIRS revealed stronger brain activation in the dorsolateral Prefrontal Cortex (dlPFC) region for smartphone addicts under loss outcome conditions, with no significant differences between the two groups in terms of brain activation at varying risk volumes. These findings are critical in promoting healthy smartphone use, guiding clinical treatment, and advancing brain mechanism research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.