Emotional Association Bias Modification Training in Individuals With IGD
NCT04068064 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 87
Last updated 2022-07-05
Summary
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
Conditions
- Internet Gaming Disorder
Interventions
- PROCEDURE
-
EABM training
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.
- PROCEDURE
-
sham training
In the control group, neutral words instead of emotional words are used. All other settings are the same with those in the intervention group
Sponsors & Collaborators
-
Beijing Normal University
lead OTHER
Principal Investigators
-
Jintao Zhang, phD · Beijing Normal University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- BASIC_SCIENCE
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 30 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-08-23
- Primary Completion
- 2020-02-28
- Completion
- 2020-02-28
Countries
- China
Study Locations
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