Efficacy and Mechanisms Underlying Emotional Association Bias Modification in Individuals With IGD
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 87
- 试验地点
- 1
- 主要终点
- Changes in gaming-related compulsive behaviors
研究概览
简要总结
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
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Basic Science
- 盲法
- Double (Participant, Investigator)
盲法说明
the grouping is blind to both participants and the investigator
入排标准
- 年龄范围
- 18 Years 至 30 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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 ≥
- •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
排除标准
- •current or history of use of illegal substances and other addictions;
- •current or history of psychiatric or neurological illness;
- •current use of psychotropic medications.
结局指标
主要结局
Changes in gaming-related compulsive behaviors
时间窗: 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
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.
Changes in gaming-related positive emotional association biases (EAB)
时间窗: baseline , the 1st day after training
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
Changes in gaming-related compulsive thoughts
时间窗: 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
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.
次要结局
- Changes in weekly gaming time(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 IGD severity(baseline, the 4th week after training, the 8th week after training)
- Changes in craving(baseline , the 1st day after training)
- Changes in positive healthy-activity-related EAB(baseline and the 1st day after training)
研究者
Jin-tao Zhang
Professor
Beijing Normal University