Department of Psychiatry, Gangnam Eulji Hospital, Eulji University, Seoul, Republic of Korea.
Department of Psychiatry, Kangdong Sacred Heart Hospital, Seoul, Republic of Korea.
Prog Neuropsychopharmacol Biol Psychiatry. 2014 Apr 3;50:21-6. doi: 10.1016/j.pnpbp.2013.11.016. Epub 2013 Dec 8.
Many researchers have reported a relationship between Internet addiction and depression. In the present study, we compared the resting-state quantitative electroencephalography (QEEG) activity of treatment-seeking patients with comorbid Internet addiction and depression with those of treatment-seeking patients with Internet addiction without depression, and healthy controls to investigate the neurobiological markers that differentiate pure Internet addiction from Internet addiction with comorbid depression.
Thirty-five patients diagnosed with Internet addiction and 34 age-, sex-, and IQ-matched healthy controls were enrolled in this study. Patients with Internet addiction were divided into two groups according to the presence (N=18) or absence (N=17) of depression. Resting-state, eye-closed QEEG was recorded, and the absolute and relative power of the brain were analyzed.
The Internet addiction group without depression had decreased absolute delta and beta powers in all brain regions, whereas the Internet addiction group with depression had increased relative theta and decreased relative alpha power in all regions. These neurophysiological changes were not related to clinical variables.
The current findings reflect differential resting-state QEEG patterns between both groups of participants with Internet addiction and healthy controls and also suggest that decreased absolute delta and beta powers are neurobiological markers of Internet addiction.
许多研究人员报告了网络成瘾与抑郁之间的关系。在本研究中，我们比较了伴有和不伴有抑郁的网络成瘾治疗寻求者与健康对照组的静息状态定量脑电图（QEEG）活动，以探讨区分单纯网络成瘾与伴发抑郁的网络成瘾的神经生物学标志物。
本研究纳入了 35 名被诊断为网络成瘾的患者和 34 名年龄、性别和智商匹配的健康对照组。根据是否存在（N=18）或不存在（N=17）抑郁，将网络成瘾患者分为两组。记录静息状态、闭眼 QEEG，并分析大脑的绝对和相对功率。
无抑郁的网络成瘾组所有脑区的绝对 delta 和 beta 功率均降低，而伴有抑郁的网络成瘾组所有脑区的相对 theta 功率增加，相对 alpha 功率降低。这些神经生理变化与临床变量无关。
目前的研究结果反映了伴有和不伴有抑郁的网络成瘾组参与者与健康对照组之间静息状态 QEEG 模式的差异，并且还表明绝对 delta 和 beta 功率降低是网络成瘾的神经生物学标志物。
