Internet Gaming Disorder Clinical Trial
Official title:
The Behavioral and Brain Mechanism of Internet Gaming Disorder
NCT number | NCT02550405 |
Other study ID # | BeijingNormalU |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | March 2012 |
Est. completion date | December 2015 |
Verified date | December 2018 |
Source | Beijing Normal University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This project aims to investigate whether anodal tDCS of dlPFC enhances cognitive regulation over craving an emotions.
Status | Completed |
Enrollment | 204 |
Est. completion date | December 2015 |
Est. primary completion date | December 2014 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Male |
Age group | 18 Years to 30 Years |
Eligibility |
Inclusion Criteria: - Inclusion criteria for IGDs were: 1. a score of 67 or higher on the CIAS; 2. engagement in Internet gaming for over 14 hours per week for a minimum of one year; and 3. reporting of Internet gaming as their primary online activity; - Inclusion criteria for HCs were: 1. a score < 60 on the CIAS; 2. never having spent more than 2 hours per week engaged in Internet gaming Exclusion Criteria: - for all participants: 1. current or history of use of illegal substances and gambling; 2. current or history of psychiatric or neurological illness; and 3. current use of psychotropic medications |
Country | Name | City | State |
---|---|---|---|
China | State Key Laboratory of Cognitive Neuroscience and Learning | Beijing | Beijing |
Lead Sponsor | Collaborator |
---|---|
Beijing Normal University |
China,
Dong G, Potenza MN. A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications. J Psychiatr Res. 2014 Nov;58:7-11. doi: 10.1016/j.jpsychires.2014.07.005. Epub 2014 Jul 17. Review. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Brain resting state functional connectivity as measured by fMRI | voxel-wise, ROI-wise, and ICA analyses | Detecting changes between two different time points (baseline and 6 weeks) | |
Primary | Brain activation during a cue-induced craving task as measured by fMRI | A paradigm using addictive pictures to induce craving | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | Brain activation during the Cups task as measured by fMRI | Cups task measuring risky decision-making related to potential gains and losses separately | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | Brain activation during the mixed gambling task tasks as measured by fMRI | The mix gambling task measuring decision-making related to loss aversion | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | Brain structure as measured by structural MRI | comparing gray matter and white matter differences between individuals with IGD and healthy controls. | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | IGD severity measured by Chen Internet addiction scale | a 26-item 4-point Likert scale | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | Craving as measured by brief questionnaire of Internet (gaming) craving | a 8-item 7-point Likert scale | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | Impulsivity as measured by Barratt impulsive scale (BIS-II) | a 30-item 4-point Likert scale | Detecting changes between two different time points (baseline and 6 weeks) | |
Secondary | weekly online (gaming) time | self-report,in hours | Detecting changes between two different time points (baseline and 6 weeks) |
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