Differential resting-state EEG patterns associated with comorbid depression in Internet addiction

Electrophysiological studies in Internet addiction: A review within the dual-process framework

“…Regarding the reflective system, the most convincing results are twofold: On the one hand control monitoring difficulties, as evidenced by ERN impairments both in excessive online computer gamers (Littel et al, 2012) and in a sample of IA including the different kinds of associated behaviors (Zhou et al, 2013). On the other hand, the reduction in delta and beta power resting-state waves of excessive online computer gamers (Lee et al, 2014). However, much more effort has to be made at the methodological level concerning the exploration of: (1) inhibition, as contrasted results are obtained between unspecified IA (Dong et al, 2010(Dong et al, , 2011Zhou et al, 2010) and excessive online gamers (Littel et al, 2012); (2) decision making and potential benefit of therapies on this process even if preliminary data are encouraging (Ge et al, 2011;Zhu et al, 2012).…”

“…Interestingly,Lee et al (2014) compared EEG resting-state activities of 17 IA (online computer gamers) with comorbid depression, 18 IA without depression and 34 matched controls (mean age: 22.9 years old). IA without depression had: (1) lower absolute beta power than controls, replicating the results presented above;…”

A genome wide association study of fast beta EEG in families of European ancestry

“…Begleiter and colleagues have suggested that this may be an electrophysiological index of an imbalance in the excitation–inhibition homeostasis in the cortex, which underlies a predisposition to develop AUD and related disorders (Begleiter and Porjesz, 1999; Porjesz et al, 2005). Further supporting this hypothesis is the association of beta EEG and other disorders characterized by behavioral disinhibition such as behavior problems and hyperactivity in children (Deckel et al, 1996), externalizing psychopathology (e.g., substance abuse symptoms) in a community sample of adolescents (Gilmore et al, 2010b), ADHD (Choi et al, 2013), and internet addiction with comorbid depression (Lee et al, 2014). Although the precise role of increased beta EEG in these behaviors and disorders remains unclear, this literature suggests that there is variation in fast beta EEG among individuals with AUD and related psychopathology.…”

“…While local excitatory-inhibitory interactions underlying sensory, motor and perceptual functions involve local gamma-band oscillations, more integrative cognitive functions mediated by long-range cortical interactions often involve the beta range (Donner and Siegel, 2011). Resting-state brain activity in the beta range (herein referred to as beta EEG) is associated with several behavioral traits, including alcohol use disorders (Bauer, 2001; Begleiter and Porjesz, 1999; Choi et al, 2013; Gilmore et al, 2010a; Lee et al, 2014; Rangaswamy et al, 2002). Given these associations, and the high degree of genetic influence observed (Malone et al, 2014; van Beijsterveldt et al, 1996), beta EEG has been proposed as a useful endo-phenotype (Gottesman and Gould, 2003) for identifying genetic risk factors for disorders characterized by disinhibitory traits (Edenberg et al, 2004; Porjesz et al, 2002).…”

“…Previous studies report differences in the magnitude of beta EEG among individuals with alcohol use disorders (AUD) and related problems (Bauer, 2001; Begleiter and Porjesz, 1999; Gilmore et al, 2010b; Propping et al, 1981; Rangaswamy et al, 2002; Winterer et al, 1998), gambling addiction (Choi et al, 2013), and Attention Deficit Hyperactive Disorder (ADHD; (Lee et al, 2014)). Researchers have consistently reported that individuals affected with DSM (III-R and IV) Alcohol Dependence (AD) show higher beta EEG (Bauer, 2001; Propping et al, 1981; Rangaswamy et al, 2002; Winterer et al, 1998).…”