Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
Int J Psychophysiol. 2013 Sep;89(3):328-33. doi: 10.1016/j.ijpsycho.2013.06.007. Epub 2013 Jun 14.
Internet addiction is the inability to control one's use of the Internet and is related to impulsivity. Although a few studies have examined neurophysiological activity as individuals with Internet addiction engage in cognitive processing, no information on spontaneous EEG activity in the eyes-closed resting-state is available. We investigated resting-state EEG activities in beta and gamma bands and examined their relationships with impulsivity among individuals with Internet addiction and healthy controls. Twenty-one drug-naïve patients with Internet addiction (age: 23.33 ± 3.50 years) and 20 age-, sex-, and IQ-matched healthy controls (age: 22.40 ± 2.33 years) were enrolled in this study. Severity of Internet addiction was identified by the total score on Young's Internet Addiction Test. Impulsivity was measured with the Barratt Impulsiveness Scale-11 and a stop-signal task. Resting-state EEG during eyes closed was recorded, and the absolute/relative power of beta and gamma bands was analyzed. The Internet addiction group showed high impulsivity and impaired inhibitory control. The generalized estimating equation showed that the Internet-addiction group showed lower absolute power on the beta band than did the control group (estimate = -3.370, p < 0.01). On the other hand, the Internet-addiction group showed higher absolute power on the gamma band than did the control group (estimate = 0.434, p < 0.01). These EEG activities were significantly associated with the severity of Internet addiction as well as with the extent of impulsivity. The present study suggests that resting-state fast-wave brain activity is related to the impulsivity characterizing Internet addiction. These differences may be neurobiological markers for the pathophysiology of Internet addiction.
网络成瘾是指无法控制自己使用互联网的行为，与冲动有关。尽管有一些研究检查了个体在进行认知处理时的神经生理活动，但对于网络成瘾者在闭眼静息状态下的自发脑电活动还没有信息。我们研究了静息状态下β和γ频段的脑电活动，并检查了它们与网络成瘾者和健康对照组个体冲动之间的关系。这项研究纳入了 21 名未经药物治疗的网络成瘾患者（年龄：23.33 ± 3.50 岁）和 20 名年龄、性别和智商匹配的健康对照组（年龄：22.40 ± 2.33 岁）。网络成瘾的严重程度通过 Young 网络成瘾测试的总分来确定。冲动性通过巴瑞特冲动量表-11 和停止信号任务来测量。记录闭眼时的静息态脑电，并分析β和γ频段的绝对/相对功率。网络成瘾组表现出高冲动性和受损的抑制控制。广义估计方程显示，与对照组相比，网络成瘾组的β频段绝对功率较低（估计值=-3.370，p<0.01）。另一方面，与对照组相比，网络成瘾组的γ频段绝对功率较高（估计值=0.434，p<0.01）。这些脑电活动与网络成瘾的严重程度以及冲动的程度显著相关。本研究表明，静息态快波脑活动与网络成瘾的冲动特征有关。这些差异可能是网络成瘾病理生理学的神经生物学标志物。
