Impact of Mobile Neurofeedback on Internet Addiction and Neurocognitive Function in Neurotypical Children: Double-Blind, Sham-Controlled Randomized Clinical Trial
- PMID: 38774254
- PMCID: PMC11108070
- DOI: 10.2147/NDT.S454881
Impact of Mobile Neurofeedback on Internet Addiction and Neurocognitive Function in Neurotypical Children: Double-Blind, Sham-Controlled Randomized Clinical Trial
Abstract
Objective: The purpose of this study was to evaluate the positive impact of mobile neurofeedback (MNF) in neurotypical children compared to sham mobile neurofeedback.
Methods: Neurotypical children aged 10-15 participated in the study. All subjects were assessed using the Kiddie Schedule for Affective Disorders and Schizophrenia Present and Lifetime Version Korean Version (K-SADS-PL-K) and confirmed to have no psychiatric symptoms. The participants were randomly assigned to the MNF active (N=31) or sham control (N=30) groups. The MNF program was administered using a mobile app for 30 min/day, 3 days/week, for 3 months. All participants and their parents completed self-report scales and participants complete neurocognitive function assessments including the continuous performance test, Stroop, children's color trails test-1 and 2, and intelligence test at baseline and after the 3-month MNF program.
Results: This study involved 61 participants (mean [SD] age, 11.24 [1.84] years; 30 male participants [49.2%]). To verify the difference between the MNF group and the sham group, 2(MNF-Sham) X 2(Pre-Post) repeated measures ANOVA was performed. The main effect of the K-scale (Korea Internet addiction scale) between-group factor (MNF vs Sham) was not significant, but the main effect of the within-group factor (Pre vs Post) was significant (F=7.595, p=0.008). The interaction effect of between-group factors and within-group factors was also significant (F=5.979, p=0.017). In other self-reported scales of children and parents and neurocognitive function assessments, there was no significant difference between the two groups.
Conclusion: Active mobile neurofeedback significantly improved children's K-scale score compared to the sham group. Therefore, mobile neurofeedback could be an easy-to-access therapeutic option for children at risk of Internet addiction. On the other hand, there was no significant difference in other scales and neurocognitive function. A 3-month intervention may not have been long enough to cause change, so longer interventions are needed for confirmation.
Keywords: double-blind randomized clinical trial; internet addiction; mobile neurofeedback; neurotypical children.
© 2024 Choi et al.
Conflict of interest statement
The authors report no conflicts of interest in this work.
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References
-
- Othmer S, Othmer SF, Kaiser DA. EEG biofeedback: an emerging model for its global efficacy. In: Introduction to Quantitative EEG and Neurofeedback. Elsevier; 1999:243–310.
-
- Shin YM, Kim E-J, Kim Y, et al. The revised Korean practice parameter for the treatment of attention-deficit hyperactivity disorder (IV)-non-pharmacologic treatment. J Korean Acad Child Adolescent Psychia. 2017;28(2):84–95. doi:10.5765/jkacap.2017.28.2.84 - DOI
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