Levels of Internet Gaming Associate with Altered Neural Processing of Social Inclusion and Exclusion

Poster No:

1059 

Submission Type:

Abstract Submission 

Authors:

Benjamin Klugah-Brown1, Hongzhou Wu1, Guanyu Zhou1, Elijah Agoalikum1, Benjamin Becker2, Bharat Biswal3

Institutions:

1University of Electronic Science and Technology of China, Chengdu, Sichuan, 2The University of Hong Kong, Pokfulam, HK, 3New Jersey Institute of Technology, Newark, NJ

First Author:

Benjamin Klugah-Brown  
University of Electronic Science and Technology of China
Chengdu, Sichuan

Co-Author(s):

Hongzhou Wu  
University of Electronic Science and Technology of China
Chengdu, Sichuan
Guanyu Zhou  
University of Electronic Science and Technology of China
Chengdu, Sichuan
Elijah Agoalikum  
University of Electronic Science and Technology of China
Chengdu, Sichuan
Benjamin Becker  
The University of Hong Kong
Pokfulam, HK
Bharat Biswal  
New Jersey Institute of Technology
Newark, NJ

Introduction:

Internet Gaming Disorder(Luo et al. 2022) has been associated with cognitive (Wang et al. 2017) and emotional dysregulation (Ha et al. 2006; Paulus et al. 2018); however, research on specific neural mechanisms underlying altered responses to social stimuli has been scarce. This study examines neural responses to social exclusion (EXC) and inclusion (INC) stimuli in individuals with elevated problematic online gaming (EPOG) and compares them with non-EPOG controls using functional MRI (fMRI).

Methods:

Fifty-nine participants (41 males, 18 females; mean age = 21.11 ± 2.35 years) were classified into EPOG (IGDS9-SF > 21, n = 30) and non-EPOG (IGDS9-SF ≤ 21, n = 29) groups. Participants viewed EXC and INC stimuli during fMRI scanning, allowing for analysis of activation patterns in brain areas related to emotional and cognitive processing. Brain activation patterns were analyzed using General Linear Model (GLM) and β-series functional connectivity (FC) analyses.

Results:

Compared to non-EPOG controls, the EPOG group exhibited significantly reduced activation in the dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex (OFC), left superior temporal gyrus, and right amygdala during social exclusion (EXC) conditions Figure 1A. In contrast, the non-EPOG group showed widespread activations in regions associated with social cognition and emotional regulation, including the anterior cingulate cortex (ACC) and insula Figure 1B. For the EXC-INC contrast, EPOG individuals demonstrated significantly lower activation in the right amygdala and left superior temporal gyrus, indicating impaired emotional processing and social cognition during emotionally challenging social scenarios (Figure 1C). FC analyses revealed heightened β-series connectivity in the EPOG group between the ACC and the left inferior frontal gyrus, precentral gyrus, and superior frontal gyrus during EXC conditions. These regions are implicated in emotional regulation, cognitive control, and self-referential processing. Positive correlations were observed between gaming severity scores and FC (Figure 2A,B,D) in these regions, suggesting that higher gaming addiction levels are associated with altered neural connectivity patterns that reinforce maladaptive responses to social stimuli.
Supporting Image: figure1.jpg
   ·T-test results from the GLM analysis, showing β values across groups and conditions
Supporting Image: Figure2.jpg
   ·group comparison of β-series FC and its correlation with gaming severity scores
 

Conclusions:

EPOG individuals display altered neural processing of social interactions, characterized by hypoactivation in cognitive control and social processing regions, alongside enhanced FC within emotion-related networks. These findings suggest that emotional dysregulation and maladaptive coping strategies may subserve problematic gaming behaviors, offering insights into potential therapeutic targets for IGD.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) 2

Emotion, Motivation and Social Neuroscience:

Social Cognition

Modeling and Analysis Methods:

Activation (eg. BOLD task-fMRI) 1

Keywords:

Addictions
FUNCTIONAL MRI

1|2Indicates the priority used for review

Abstract Information

By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.

I accept

The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:

I am submitting this abstract as an original work to be reproduced. I am available to be the “source party” in an upcoming team and consent to have this work listed on the OSSIG website. I agree to be contacted by OSSIG regarding the challenge and may share data used in this abstract with another team.

Please indicate below if your study was a "resting state" or "task-activation” study.

Resting state
Task-activation

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Healthy subjects

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

Functional MRI

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

SPM

Provide references using APA citation style.

Ha, Jee Hyun, Hee Jeong Yoo, In Hee Cho, Bumsu Chin, Dongkeun Shin, and Ji Hyeon Kim. 2006. “Psychiatric Comorbidity Assessed in Korean Children and Adolescents Who Screen Positive for Internet Addiction.” Journal of Clinical Psychiatry 67(5). doi: 10.4088/JCP.v67n0517.
Luo, Tao, Dan Wei, Jiangfan Guo, Maorong Hu, Xuelin Chao, Yan Sun, Qian Sun, Shuiyuan Xiao, and Yanhui Liao. 2022. “Diagnostic Contribution of the DSM-5 Criteria for Internet Gaming Disorder.” Frontiers in Psychiatry 12. doi: 10.3389/fpsyt.2021.777397.
Paulus, Frank W., Susanne Ohmann, Alexander von Gontard, and Christian Popow. 2018. “Internet Gaming Disorder in Children and Adolescents: A Systematic Review.” Developmental Medicine and Child Neurology 60(7).
Wang, Yifan, Yanbo Hu, Jiaojing Xu, Hongli Zhou, Xiao Lin, Xiaoxia Du, and Guangheng Dong. 2017. “Dysfunctional Prefrontal Function Is Associated with Impulsivity in People with Internet Gaming Disorder during a Delay Discounting Task.” Frontiers in Psychiatry 8(DEC). doi: 10.3389/fpsyt.2017.00287.

UNESCO Institute of Statistics and World Bank Waiver Form

I attest that I currently live, work, or study in a country on the UNESCO Institute of Statistics and World Bank List of Low and Middle Income Countries list provided.

No