| Title |
Abnormal prefrontal cortex resting state functional connectivity and severity of internet gaming disorder
|
|---|---|
| Published in |
Brain Imaging and Behavior, August 2015
|
| DOI | 10.1007/s11682-015-9439-8 |
| Pubmed ID | |
| Authors |
Chenwang Jin, Ting Zhang, Chenxi Cai, Yanzhi Bi, Yangding Li, Dahua Yu, Ming Zhang, Kai Yuan |
| Abstract |
Internet Gaming Disorder (IGD) among adolescents has become an important public concern and gained more and more attention internationally. Recent studies focused on IGD and revealed brain abnormalities in the IGD group, especially the prefrontal cortex (PFC). However, the role of PFC-striatal circuits in pathology of IGD remains unknown. Twenty-five adolescents with IGD and 21 age- and gender-matched healthy controls were recruited in our study. Voxel-based morphometric (VBM) and functional connectivity analysis were employed to investigate the abnormal structural and resting-state properties of several frontal regions in individuals with online gaming addiction. Relative to healthy comparison subjects, IGD subjects showed significant decreased gray matter volume in PFC regions including the bilateral dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex (OFC), anterior cingulate cortex (ACC) and the right supplementary motor area (SMA) after controlling for age and gender effects. We chose these regions as the seeding areas for the resting-state analysis and found that IGD subjects showed decreased functional connectivity between several cortical regions and our seeds, including the insula, and temporal and occipital cortices. Moreover, significant decreased functional connectivity between some important subcortical regions, i.e., dorsal striatum, pallidum, and thalamus, and our seeds were found in the IGD group and some of those changes were associated with the severity of IGD. Our results revealed the involvement of several PFC regions and related PFC-striatal circuits in the process of IGD and suggested IGD may share similar neural mechanisms with substance dependence at the circuit level. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| India | 1 | <1% |
| Unknown | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 20% |
| Student > Bachelor | 19 | 13% |
| Researcher | 16 | 11% |
| Student > Master | 11 | 8% |
| Student > Doctoral Student | 9 | 6% |
| Other | 21 | 15% |
| Unknown | 37 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 21% |
| Medicine and Dentistry | 25 | 18% |
| Neuroscience | 17 | 12% |
| Nursing and Health Professions | 8 | 6% |
| Social Sciences | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 44 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 October 2017.
All research outputs
#12,740,022
of 22,824,164 outputs
Outputs from Brain Imaging and Behavior
#428
of 1,155 outputs
Outputs of similar age
#115,756
of 267,486 outputs
Outputs of similar age from Brain Imaging and Behavior
#12
of 24 outputs
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We're also able to compare this research output to 24 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.