TY - JOUR
T1 - Brain oscillations, inhibitory control mechanisms and rewarding bias in web addiction. Two opposite young subjects’ clusters?
AU - Balconi, Michela
AU - Venturella, Irene
AU - Finocchiaro, Roberta
PY - 2018
Y1 - 2018
N2 - Internet Addiction (IA) is considered a subtype of impulse control disorder, and a behavior related to rewarding system deficits. However whether and how impulse control deficits are related to in rewarding mechanisms is actually unexplored. The present research aims to examine the neural correlates of deficits in inhibitory control and the rewarding mechanisms in IA in a sample of young people. Internet Addiction Inventory (IAT) was applied to a sub-clinical sample. Secondly, cortical oscillations (frequency bands) and personality trait (Behavioral Inhibition System, BIS; Behavioral Activation System, BAS) were considered to explain IA. Oscillatory brain activity (delta, theta, alpha, beta and gamma) and response times (RTs) were monitored during the performance of a Go/NoGo task in response online gambling videos, videogames or neutral stimuli. BAS, BAS-R (BAS-Reward subscale), BIS and IAT predicted the low-frequency band variations, although in an opposite direction: reduced delta and theta and RTs values were found for higher BAS, BAS-R and IAT, in the case of NoGo for gambling and videogames stimuli; in contrast increased delta and theta and RTs values were observed for higher BIS. Two potential different young subjects’ clusters were suggested: with low inhibitory impulse control and rewarding bias (higher BAS and IAT); and with impulse hyper-control (higher BIS).
AB - Internet Addiction (IA) is considered a subtype of impulse control disorder, and a behavior related to rewarding system deficits. However whether and how impulse control deficits are related to in rewarding mechanisms is actually unexplored. The present research aims to examine the neural correlates of deficits in inhibitory control and the rewarding mechanisms in IA in a sample of young people. Internet Addiction Inventory (IAT) was applied to a sub-clinical sample. Secondly, cortical oscillations (frequency bands) and personality trait (Behavioral Inhibition System, BIS; Behavioral Activation System, BAS) were considered to explain IA. Oscillatory brain activity (delta, theta, alpha, beta and gamma) and response times (RTs) were monitored during the performance of a Go/NoGo task in response online gambling videos, videogames or neutral stimuli. BAS, BAS-R (BAS-Reward subscale), BIS and IAT predicted the low-frequency band variations, although in an opposite direction: reduced delta and theta and RTs values were found for higher BAS, BAS-R and IAT, in the case of NoGo for gambling and videogames stimuli; in contrast increased delta and theta and RTs values were observed for higher BIS. Two potential different young subjects’ clusters were suggested: with low inhibitory impulse control and rewarding bias (higher BAS and IAT); and with impulse hyper-control (higher BIS).
KW - BIS-BAS
KW - Internet Addiction
KW - frequency band
KW - gambling
KW - rewarding
KW - BIS-BAS
KW - Internet Addiction
KW - frequency band
KW - gambling
KW - rewarding
UR - http://hdl.handle.net/10807/119810
UR - http://www.ledonline.it/neuropsychologicaltrends
U2 - 10.7358/neur-2018-023-bal1
DO - 10.7358/neur-2018-023-bal1
M3 - Article
SN - 1970-321X
VL - 2018
SP - 35
EP - 66
JO - Neuropsychological Trends
JF - Neuropsychological Trends
ER -