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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neural Correlates of Distorted Self-concept in Individuals With Internet Gaming Disorder: A Functional MRI Study
|
|---|---|
| Published in |
Frontiers in Psychiatry, July 2018
|
| DOI | 10.3389/fpsyt.2018.00330 |
| Pubmed ID | |
| Authors |
Min-Kyeong Kim, Young Hoon Jung, Sunghyon Kyeong, Yu-Bin Shin, Eunjoo Kim, Jae-Jin Kim |
| Abstract |
Background and aims: Discrepancy between ideal self-guide and actual self-concept evoke dejection-related feeling, and often individuals with internet gaming disorder (IGD) use games as the tool to escape those negative emotions. The aim of this study was to evaluate the pattern of self-discrepancy based on actual and ideal self-images and elucidate the neural correlates underlying the distorted self in individuals with IGD. Methods: Nineteen male individuals with IGD and 20 healthy controls (HCs) underwent functional magnetic resonance imaging where they decided on whether they agreed with the adjectives describing their actual or ideal self on a four-point Likert Scale. Two-sample t-test on the self-discrepancy contrast was conducted for neuroimaging analysis and correlation analysis was performed between the behavioral data and regional activities. Results: The IGD group evaluated both their ideal self and actual self more negatively than the HC group. Actual self-concept was associated with satisfaction with psychological needs as opposed to ideal self-guide. Brain activity in the inferior parietal lobule was significantly decreased in individuals with IGD relative to HCs in the self-discrepancy contrast. In addition, neural activity during evaluating actual self-concept showed a significant group difference. Conclusion: These results provide novel evidence for distorted self-concept of people with IGD. Individuals with IGD had a negative ideal and actual self-image. Neurobiologically, dysfunction in the inferior parietal lobule associated with emotional regulation and negative self-evaluation was found in IGD. Considering the characteristics of IGD that often develop in adolescence, this self-concept problem should be noted and applied with appropriate therapy. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Researcher | 5 | 8% |
| Student > Postgraduate | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 11 | 19% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 20 | 34% |
| Medicine and Dentistry | 9 | 15% |
| Neuroscience | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Computer Science | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2019.
All research outputs
#6,998,780
of 23,092,602 outputs
Outputs from Frontiers in Psychiatry
#3,050
of 10,220 outputs
Outputs of similar age
#119,639
of 330,300 outputs
Outputs of similar age from Frontiers in Psychiatry
#93
of 175 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.