Objectives: Internet Addiction (IA) is considered a subtype of impulse control disorder, and a behavior related to rewarding system deficits. The present research aims to examine the neural correlates of deficits in inhibitory control and the rewarding mechanisms in IA. Internet Addiction Inventory (IAT) was applied to a sub-clinical sample. Participants and methods: 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. Results: 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 ob-served for higher BIS. Conclusions: Two potential different subjects' clusters were suggested: with low inhibito-ry impulse control and rewarding bias (higher BAS and IAT); and with impulse hyper-control (higher BIS).

Balconi, M., Finocchiaro, R., Brain oscillations, inhibitory control mechanisms and rewarding bias in internet addiction, Abstract de <<International Neuropsychological Society 2016 Mid-Year Meeting>>, (London, 06-08 July 2016 ), <<JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY>>, 2016; 22 (s2): 50-50. 10.1017/S1355617716001181 [http://hdl.handle.net/10807/93896]

Brain oscillations, inhibitory control mechanisms and rewarding bias in internet addiction

Balconi, Michela
;
Finocchiaro, Roberta
Ultimo
2016

Abstract

Objectives: Internet Addiction (IA) is considered a subtype of impulse control disorder, and a behavior related to rewarding system deficits. The present research aims to examine the neural correlates of deficits in inhibitory control and the rewarding mechanisms in IA. Internet Addiction Inventory (IAT) was applied to a sub-clinical sample. Participants and methods: 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. Results: 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 ob-served for higher BIS. Conclusions: Two potential different subjects' clusters were suggested: with low inhibito-ry impulse control and rewarding bias (higher BAS and IAT); and with impulse hyper-control (higher BIS).
Inglese
Balconi, M., Finocchiaro, R., Brain oscillations, inhibitory control mechanisms and rewarding bias in internet addiction, Abstract de <<International Neuropsychological Society 2016 Mid-Year Meeting>>, (London, 06-08 July 2016 ), <<JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY>>, 2016; 22 (s2): 50-50. 10.1017/S1355617716001181 [http://hdl.handle.net/10807/93896]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/93896
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