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Record W4416194701 · doi:10.2196/83597

Effects of Progressive Aerobic Training on Executive-Reward Network Connectivity and Symptoms of Internet Gaming Disorder: Randomized Controlled Trial

2025· article· en· W4416194701 on OpenAlexvenueno aff
Shuang Cui, XueFeng Xu, Xin Luo, Meiting Wei, Guangheng Dong

Bibliographic record

VenueJMIR Serious Games · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialIntervention (counseling)Aerobic exerciseThe InternetFunctional connectivity

Abstract

fetched live from OpenAlex

Background: Internet gaming disorder (IGD) causes neurocognitive deficits and brain dysfunction. Progressive aerobic training (PAT) seems more practical. However, its effect on IGD and the underlying neural mechanism remains unclear. Objective: This preregistered, randomized controlled, single-blind study examined the efficacy of a novel non-pharmacological intervention by elucidating the neurocognitive mechanisms in IGD. Methods: A total of 72 participants with IGD (meeting the DSM-5 criteria for IGD, Internet Addiction Test [IAT] score >50, and no comorbid conditions) were recruited and randomly assigned to a PAT group (received 12 weeks of PAT with the intensity dynamically adjusted based on real-time performance) or a free training (FT) group (completed sessions of equal duration but without a progressive structure, allowing free choice of exercise mode and intensity). No intervention-related adverse events were reported. Sixty-four participants completed the experiment (PAT: 33; FT: 31), including pretreatment and posttreatment functional magnetic resonance imaging scans and 20 PAT sessions in a month. Regional homogeneity and degree centrality are calculated; the overlapping brain regions were used as seed points for functional connectivity (FC) analysis. The correlation between FC and behavioral data and neurotransmitters was also evaluated. Results: The PAT group demonstrated a significantly greater reduction in IAT scores compared to the FT group (t32=4.333, Pbonf<0.001, Cohen d=0.754, 95% CI 0.362-1.137), accompanied by a specific reduction in game craving within the PAT group (t32=2.278, Pbonf=0.03, Cohen d=0.397, 95% CI 0.045-0.851]). FC analysis revealed that PAT significantly enhanced FC within the executive control network (ECN), increasing connectivity between the right medial superior frontal gyrus (R-mSFG) and key regions, including the left postcentral gyrus (F1, 62=7.95, P=.006), bilateral superior parietal gyrus (right: F1, 62=5.68, P=.02; left: F1, 62=8.85, P=.004), and left inferior frontal gyrus (F1, 62=11.37, P=.001). PAT also strengthened ECN-reward network (RN) integration, enhancing FC between the R-mSFG and bilateral insula (right: F1, 62=11.41, P=.001; left: F1, 62=7.94, P=.006) and left substantia nigra (F1, 62=10.60, P=.002). These neural changes were behaviorally relevant, as pretest game craving positively correlated with post-intervention FC strength between the R-mSFG and left postcentral gyrus (r=0.36, P=.04, 95% CI 0.02-0.63) and right precentral gyrus (r=0.40, P=.02, 95% CI 0.07-0.65). Furthermore, the FC changes were significantly associated with cannabinoid (CB1) (P=.003) and metabotropic glutamate (mGluR5) receptor distributions (P=.005). Conclusions: This study demonstrates the efficacy of a progressive and adaptive PAT intervention in reducing IGD severity, moving beyond static protocols by dynamically tailoring intensity to individual performance. The therapeutic effect may be mediated by modulating the functional connectivity between the ECN and the RN, potentially enhancing top-down control. These results, supported by the correlation between FC, behavior, and neurotransmitter systems, indicate that PAT represents a promising non-pharmacological intervention approach worthy of further investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.290
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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