Human Cognition to Analyse Alcohol Use Disorder and Correlation with
Internet Gaming Disorder
Abstract
Playing games always been interest in child and adolescent. Technology
specially internet given new dimension to gaming and over the decade
gaming over internet attracted major percentage of player. Excessive
gaming when not controlled also lead to the behavioral dysfunction along
with physiological issues. World Health Organization (WHO) has added
Internet Gaming Disorder (IGD) as potential mental disorder recently in
Diagnostic and Statistical Manual for Mental Disorders (DSM-5) as
research field to include in main manual. Research in this field gained
interest, but about diagnostic criteria debate is still on in research
group. For diagnosis of IGD, not only subjective symptoms but its
underlying neurobiology needs to be included. Major behavioral addiction
shares its symptoms with different addiction, which can be seen into IGD
and Alcohol Use Disorder (AUD) also. In this paper, we aim to identify
potential biomarkers to explore relationships between AUD and IGD
symptoms using EEG signals recordings. Noise and other artifacts are
removed during pre-processing and bands splitted in intermediate steps
of proposed method. Spectral features are potential indicator in EEG
data, for all five EEG bands power spectral density is computed and
visible difference found in mean power on most of the channels for all
bands. Across theta and beta bands, mean absolute power is greatly
reduced in the frontal and prefrontal brain region. The results indicate
symptoms are matching with impulsive behavior. Based on statistical
analysis across we found similarities in EEG features in terms of
emotional imbalance, high arousal, slow response inhibition and our
study indicate Alcohol Use Disorder and IGD are correlated.