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).
| Original language | English |
|---|---|
| Pages (from-to) | 50-50 |
| Number of pages | 1 |
| Journal | Journal of the International Neuropsychological Society |
| Volume | 22 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | International Neuropsychological Society 2016 Mid-Year Meeting - London Duration: 6 Jul 2016 → 8 Jul 2016 |
Keywords
- EEG
- Inhibitory control
- Internet addiction
- Reward
Fingerprint
Dive into the research topics of 'Brain oscillations, inhibitory control mechanisms and rewarding bias in internet addiction'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver