4.3 Article

Slow-Wave EEG Activity Correlates with Impaired Inhibitory Control in Internet Addiction Disorder

Publisher

MDPI
DOI: 10.3390/ijerph19052686

Keywords

slow-wave activity; internet addiction disorders (IAD); electroencephalogram (EEG); inhibitory control; resting-state

Funding

  1. National Natural Science Foundation of China [31972906]
  2. Natural Science Foundation of Chongqing [cstc2020jcyj-msxmX0215]
  3. High-end Foreign Expert Introduction Program [G20190022029]

Ask authors/readers for more resources

The present study found that individuals with Internet addiction disorder (IAD) have decreased slow-wave activity, particularly in the frontal areas, as indicated by the analysis of resting-state electroencephalography (EEG). Furthermore, the slow-wave activities in the frontal areas were correlated with the commission error rate in the Go/NoGo task in the IAD group. These findings suggest that the frontal slow-wave EEG activity may serve as a neurophysiological marker of IAD, providing insights into the underlying neural mechanisms of inhibitory control deficits and potential interventions.
Impaired inhibitory control is a core feature of internet addiction disorder (IAD). It is therefore of interest to determine the neurophysiological markers associated with it. The present study aimed to find such biomarkers with a resting-state electroencephalogram (EEG). We specifically used scores on the Chinese Internet Addiction Scale revised edition (CIAS-R) to divide 46 participants into two groups: the IAD group (>53, n = 23) and control group (<46, n = 23). Both behavioral aspects (Go/NoGo responses and impulsivity) and EEG were measured in the lab. The results suggest that the IAD group presented a decreased slow-wave (1-8 Hz) absolute power across the whole brain. The slow-wave activities in the frontal areas were also correlated with the commission error rate in the Go/NoGo task in the IAD group. These results imply that the frontal slow-wave EEG activity may serve as a neurophysiological marker of IAD, helping to understand the underlying neural mechanisms of inhibitory control deficits in IAD and point to possible interventions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available