Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This project aims to investigate (1) the efficacy of emotional association bias modification (EABM) training on internet gaming disorder (IGD); (2) the underlying neural mechanisms of such efficacy
As with the efficacy, the experiment aims to test whether EABM training will reduce positive emotional association bias towards gaming, compulsive choice of gaming pictures, cue-induced craving for gaming, the severity of gaming behaviors in individuals with IGD.
As with the underlying neural mechanisms, the experiment aims to test whether EABM training will alter the activation of reward circuits in response to gaming pictures, the activation of executive control network (mainly refering to the prefrontal cortex) regarding regulation ability for craving and response inhibition ability.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| EABM training group | Experimental | about 40 individuals with IGD will be randomly assigned to the EABM training group |
|
| Control training group | Placebo Comparator | about another 40 individuals with IGD will be randomly assigned to the control training group |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| EABM training | Procedure | The training aims at associating gaming pictures with negative words and pictures of healthy activities with positive words. Gaming pictures are always presented with a pair of negative words. Pictures of healthy activities are always presented with a pair of positive words. Each picture is presented with a fixed pair of words. Participants will be instructed to select one word to get the most monetary reward. Specifically, in response to each gaming picture, selecting one word will have a 70% chance to get a monetary reward and the other word will have a 30% chance to get a monetary reward. A similar rationale applies to the pictures of healthy activities. The reward setting will help consolidate target associations. Each training session includes 300 times/trials of each type of association, presented in pseudorandom way. The whole training includes 6 training sessions. Participants will receive one training session every days. |
| Measure | Description | Time Frame |
|---|---|---|
| Changes in gaming-related positive emotional association biases (EAB) | The gaming-related positive EAB will be assessed in a priming task. In the task, participants will be instructed to judge the emotional valence of positive or negative words following gaming pictures or healthy-activity pictures. Gaming-related positive EAB will be calculated by determining differences in reaction times (RTs; RTs (negative-word) minus RTs (positive-word)) in response to words following gaming pictures | baseline , the 1st day after training |
| Changes in gaming-related compulsive thoughts | the scores of gaming-related compulsive thoughts will be assessed with the Yale-Brown Obsessive-Compulsive Scale modified for internet gaming disorder. The range of the score concerning gaming-related compulsive thoughts of this scale is from 0 to 20. Higher scores means more gaming-related compulsive thoughts. | baseline, the 1st week after training, the 2nd week after training, the 3rd week after training, the 4th week after training, the 6th week after training, the 8th week after training |
| Changes in gaming-related compulsive behaviors | the scores of gaming-related compulsive behaviors will be assessed with the Yale-Brown Obsessive-Compulsive Scale modified for internet gaming disorder. The range of the score concerning gaming-related compulsive behaviors of this scale is from 0 to 20. Higher scores means more gaming-related compulsive behaviors. | baseline, the 1st week after training, the 2nd week after training, the 3rd week after training, the 4th week after training, the 6th week after training, the 8th week after training |
| Measure | Description | Time Frame |
|---|---|---|
| Changes in positive healthy-activity-related EAB | The healthy-activity-related positive EAB will be assessed in a priming task. In the task, participants will be instructed to judge the emotional valence of positive or negative words following gaming pictures or healthy-activity pictures. Healthy-activity-related positive EAB will be calculated by determining differences in reaction times (RTs; RTs (negative-word) minus RTs (positive-word)) in response to words following healthy-activity pictures |
Not provided
Inclusion Criteria:
the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5 ) recommended diagnosis of Internet gaming disorder :
the scores of the 9 items of DSM-5 recommended diagnosis for Internet gaming disorder ≥ 5.
engagement in popular Internet games (e.g. Arena of Valor, League of Legends and Player Unknown's Battle Grounds) for over 20 hours per week for a minimum of 12 months.
the scores of the Young-Internet addiction Test ≥ 50
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Jintao Zhang, phD | Beijing Normal University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University | Beijing | Beijing Municipality | 100875 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26026385 | Background | Snagowski J, Wegmann E, Pekal J, Laier C, Brand M. Implicit associations in cybersex addiction: Adaption of an Implicit Association Test with pornographic pictures. Addict Behav. 2015 Oct;49:7-12. doi: 10.1016/j.addbeh.2015.05.009. Epub 2015 May 16. | |
| 35861265 | Derived | Wu L, Xu J, Song K, Zhu L, Zhou N, Xu L, Liu G, Wang Z, Wang R, Qin S, Fang X, Zhang J, Potenza MN. Emotional bias modification weakens game-related compulsivity and reshapes frontostriatal pathways. Brain. 2022 Dec 19;145(12):4210-4221. doi: 10.1093/brain/awac267. |
Not provided
Not provided
we will share individual participant data when required
1 year after the publication of related paper , for 3 years
By contacting the principal investigator. Email : zhangjintao@bnu.edu.cn
Not provided
Not provided
| ID | Term |
|---|---|
| D000082424 | Internet Addiction Disorder |
| ID | Term |
|---|---|
| D000088942 | Technology Addiction |
| D016739 | Behavior, Addictive |
| D003192 | Compulsive Behavior |
| D007175 | Impulsive Behavior |
Not provided
Not provided
a randomized, between-subject design, including an intervention group and a control group
Not provided
Not provided
the grouping is blind to both participants and the investigator
|
| sham training | Procedure | In the control group, neutral words instead of emotional words are used. All other settings are the same with those in the intervention group |
|
| baseline and the 1st day after training |
| Changes in IGD severity | The scores of IGD severity will be assessed with the internet addiction test for internet gaming disorder. The range of the score of this scale is from 20 to 100. Higher scores means severer internet gaming disorder. | baseline, the 4th week after training, the 8th week after training |
| Changes in weekly gaming time | weekly gaming time will be assessed by instructing participants to report weekly gaming hour in a questionaire | baseline, the 1st week after training, the 2nd week after training, the 3rd week after training, the 4th week after training, the 6th week after training, the 8th week after training |
| Changes in craving | In the regulation-of-craving task, participants will report gaming-related craving during look condition, and during regulation condition using cognitive reappraisal，respectively. Craving will be assessed using a Visual Analog Scale (from 1 = 'not at all' to 9 = 'very high') | baseline , the 1st day after training |
| D001519 |
| Behavior |