<p>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.<i></i></p>
Differential neurophysiological correlates of information processing in Internet gaming disorder and alcohol use disorder measured by event-related potentials
