Poster No:
731
Submission Type:
Abstract Submission
Authors:
Yawei Qi1, Qinghua He1, Ziyou Yan1
Institutions:
1Southwest University, Chongqing, Chongqing
First Author:
Yawei Qi
Southwest University
Chongqing, Chongqing
Co-Author(s):
Qinghua He
Southwest University
Chongqing, Chongqing
Ziyou Yan
Southwest University
Chongqing, Chongqing
Introduction:
Internet addiction (IA) has gradually become a serious problem in global public health and has emerged as a growing concern. IA is defined as excessive and compulsive use of the internet (and its underlying applications, such as social media and video games) that interferes with daily life and manifests in typical behavioral addiction symptoms (YOUNG, 1998). Converging evidence suggests that such addictions can be associated with various changes in cognitive functions (Méndez et al., 2024), including deficits in attention (Ko et al., 2009; Wang, J. et al., 2024). These can manifest in abnormal functional connectivity in one's cognitive control network (Wang, Y. et al., 2019) and orienting network (Wang, Y. et al., 2019). Attention networks are critical for maintaining cognitive performance in complex, target-directed activities. Understanding these networks might underlie IA and how improving them can reduce IA is essential for developing effective interventions to mitigate IA.
Methods:
Through recruitment, thirty-two college students with Internet addiction participated in our experiment. The study employed a single-factor experimental design with 2 test times: pre-test and post-test. In Phase I, the first 14 participants received SFGC once a week for five weeks, while the other 12 participants did not receive any intervention(Pu et al., 2023). After the Phase I was over, all 26 participants underwent a post-test. They all completed CIAS-R, ANT, and EEG recordings. Phase II was immediately carried out for the 12 participants in the Phase I who did not intervention. The program and procedure were the same as those in the first phase of SFGC. After the second phase of group counseling, the 12 participants underwent a post-post-test with CIAS-R, ANT, and EEG recording. The process was supervised by an experienced SFBT-oriented tutor, and each group consisted of one leader and one assistant, who were professionally trained. In this study, we focused on whether the focused group counseling intervention could improve the attention network function and cognitive neural basis of IA. Therefore, this study used pre-intervention as a pre-test(baseline) and post-intervention as a post-test for the 26 participants (16 females; mean age 19.42 ± 1.10) who completed the full SFGC process.
Results:
This research sought to examine the effect of SFGC intervention on attention networks in college students with Internet addiction, both in terms of behavioral modifications and evoked-related brain responses during the successful completion of the ANT. Our analyses point to four interesting results. First, behaviorally, the executive network effect is significantly reduced after SFGC. Second, the ERP target-related P3 amplitude of CPZ electrode points increased significantly after the intervention, especially under incongruent conditions. Third, interestingly, ERSP results for the same time window as the target-related P3 component on CPz showed an increase in ERD in the alpha band after the intervention. Fourth, we observed a significant negative correlation between the reaction time for post-test Executive effects with post-test (Executive efficiency negative, EEN) in CPZ. Overall, results suggest that SFGC can have a significant positive impact on Internet addiction in college as well as improvement in attention networks, especially the executive. Such improvements manifested both through behavior and electrophysiology.
Conclusions:
This study demonstrates that SFGC can be effective in enhancing executive control in college students with Internet addiction. Behavioral improvements, such as reduced reaction times, were paralleled by neural changes, notably an increase in P3 amplitude and decreased alpha-band ERD, all of which indicate improved conflict resolution and attentional resource allocation. A significant negative correlation between reaction times and P3 differences suggests a close link between enhanced cognitive performance and neural responsiveness.
Higher Cognitive Functions:
Executive Function, Cognitive Control and Decision Making 1
Novel Imaging Acquisition Methods:
EEG 2
Keywords:
Addictions
Electroencephaolography (EEG)
Other - Attention networks; Solution-Focused Group Counseling; Event Related Spectral Perturbation; intervention
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Task-activation
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
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Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
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Were any animal research approved by the relevant IACUC or other animal research panel?
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Please indicate which methods were used in your research:
EEG/ERP
Provide references using APA citation style.
YOUNG, K. S. (1998). Internet Addiction: The Emergence of a New Clinical Disorder. Published in CyberPsychology and Behavior, 1(3), 237-244.
Pu, Y. (2023). Five-week of solution-focused group counseling successfully reduces internet addiction among college students: A pilot study. Journal of Behavioral Addictions, 12(4), 964-971.
Wang, J. (2024). The longitudinal associations between internet addiction and ADHD symptoms among adolescents. Journal of Behavioral Addictions, 13(1), 191-204.
Ko, C.H. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents: a 2-year prospective study. Archives of pediatrics & adolescent medicine, 163(10), 937-943.
Wang, Y. (2019). Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study. Frontiers in Neurology, 10.
No