Independent component analysis for internet gaming disorder

Area of Science:

• Neuroscience
• Psychiatry
• Computational Neuroscience

Background:

• Internet gaming disorder (IGD) is a growing concern with increasing research into its neurobiological underpinnings.
• Independent component analysis (ICA) is an emerging technique for analyzing brain network activity.

Purpose of the Study:

• To review studies utilizing ICA to investigate brain networks associated with IGD.
• To focus on the default-mode, executive-control, and salience networks in relation to IGD.

Main Methods:

• Narrative review of existing literature.
• Focused analysis on studies employing ICA for brain network assessment in IGD.

Main Results:

• Consistent alterations were observed in the default-mode, executive-control, and salience networks among individuals with IGD.
• These network changes are implicated in the development and progression of internet gaming disorder.

Conclusions:

• The identified brain network alterations provide insights into the neurobiology of IGD.
• Further research is necessary to elucidate the precise role of these networks in IGD symptomatology and to inform treatment strategies.