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

Yawei Qi, Yuting Liu, Ziyou Yan, Shiqi Hu, Xinhe Zhang, Jia Zhao, Ofir Turel and Qinghua He
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Yawei Qi: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
Yuting Liu: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
Ziyou Yan: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
Shiqi Hu: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
Xinhe Zhang: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
Jia Zhao: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
Ofir Turel: School of Computing and Information Systems, The University of Melbourne, Parkville, VIC 3010, Australia
Qinghua He: Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China

IJERPH, 2022, vol. 19, issue 5, 1-15

Abstract: 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.

Keywords: slow-wave activity; internet addiction disorders (IAD); electroencephalogram (EEG); inhibitory control; resting-state (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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