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Related Experiment Video

Updated: Feb 3, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

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Published on: August 7, 2017

Mapping Internet gaming disorder using effective connectivity: A spectral dynamic causal modeling study.

Min Wang¹, Hui Zheng¹, Xiaoxia Du²

¹Department of Psychology, Zhejiang Normal University, Jinhua, China.

Addictive Behaviors

|October 27, 2018

Summary

This summary is machine-generated.

This study reveals altered brain connectivity in Internet gaming disorder (IGD). Reduced effective connectivity from the medial prefrontal cortex to the posterior cingulate cortex may serve as a key biomarker for IGD.

Keywords:

Default mode network Effective connectivity Internet gaming disorder Medial prefrontal cortex Spectral dynamic causal modeling

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

Neuroscience
Psychiatry
Addiction Research

Background:

Internet gaming disorder (IGD) is a behavioral addiction with unclear neural underpinnings.
Aberrant resting-state functional connectivity (rsFC) in the default mode network (DMN) is observed in IGD.
Directional analysis of DMN effective connectivity in IGD is needed.

Purpose of the Study:

To investigate the effective connectivity within the DMN in individuals with IGD using spectral dynamic causal modeling (spDCM).
To identify potential neural biomarkers for IGD.
To inform future brain-based interventions for IGD.

Main Methods:

Resting-state fMRI data from 64 individuals with IGD and 63 recreational Internet game users (RGU) were analyzed.
spDCM was employed to examine effective connectivity between DMN regions: mPFC, PCC, and bilateral IPL.
Voxel-based time series data from these regions were extracted for analysis.

Main Results:

Individuals with IGD exhibited reduced effective connectivity from the mPFC to the PCC compared to RGU.
IGD was associated with reduced effective connectivity from the left IPL to the mPFC.
Decreased self-connectivity was observed in the PCC and left IPL in the IGD group.

Conclusions:

spDCM provides a more precise distinction of functional architecture changes in IGD than rsFC.
Decreased excitatory connectivity from the mPFC to the PCC is a potential crucial biomarker for IGD.
Dysregulation within the IPL-mPFC-PCC circuits warrants attention in future IGD interventions.