He, Weiqi, et al. Computers in Human Behavior (2017).
https://doi.org/10.1016/j.chb.2017.06.017
Highlights
- Internet addicts performed at a higher risk level than the non addicts.
- Internet addicts exhibited a smaller FRN in the small magnitude condition.
- Internet addicts exhibited a larger P300 in the small magnitude condition.
- It may indicate weaker punishment sensitivity and stronger reward sensitivity.
Abstract
Internet addiction is an important phenomenon in the modern world and is becoming a hot research topic. In light of previous studies, we investigate the potential relationship between Internet addiction and risk decision-making, as well as the sensitivity to reward and punishment, among college students. Thirty-two volunteers were allocated to the Internet addiction group and the non-addiction group according to the Internet addiction diagnostic criteria from Tao et al. Both groups finished a simple gambling task with electroencephalogram (EEG) recording. Behavioral results showed that the Internet addiction group performed at a higher risk level compared to the non-addiction group. Regarding the event-related potentials (ERPs) elicited by outcome feedback during decision-making, the Internet addiction group exhibited a smaller feedback-related negativity (FRN) but a larger P300 than the non-addiction group in the small magnitude condition, which may indicate weaker punishment sensitivity and stronger reward sensitivity, respectively.
Keywords
- Internet addiction;
- Reward sensitivity;
- Punishment sensitivity;
- Decision-making;
- Feedback-related negativity (FRN);
- P300
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