Resting-state EEG gamma activity in children with Attention-Deficit/Hyperactivity Disorder

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

“…IA also presented increased absolute gamma band power, while changes in gamma band have also been associated with impulsivity (Barry et al, 2010;Romer Thomsen et al, 2013). Resting-state fast-wave brain activity thus appears to be associated with impulsivity in Internet addiction (online computer gaming) and differences within those EEG resting-state activities could constitute neurobiological markers for the pathophysiology of Internet addiction.…”

MRI Study on the Functional and Spatial Consistency of Resting State-Related Independent Components of the Brain Network

“…The DMN may also be associated with some psychopathologies, (e.g., self-disturbance in schizophrenia) (16), and inattentiveness in attention deficit hyperactivity disorder (ADHD) (8, 17). In previous neuroimaging studies, deficits in the DMN have been reported in various neuropsychiatric disorders (18), including schizophrenia (10, 14), autism (19), ADHD (20-23), Alzheimer's-type dementia, and mild cognitive impairment (24-26). From a clinical perspective, a question of interest is whether a deficit in the DMN can be restored or modulated.…”

Physiologic artifacts in resting state oscillations in young children: methodological considerations for noisy data

“…(Marshall et al, 2002)), or both (e.g. (Barry et al, 2010)), sometimes without an explicit reason provided for the choice. Justifications in favor of relative power include more robust test-retest reliability and less vulnerability to differences in skull thickness which, in turn, may facilitate the analysis of individual differences in early development (Benninger et al, 1984; John, 1980; Nunez and Shrinivasan, 2006).…”

“…With a temporal resolution that facilitates quantification of subtle changes in state and function over time, QEEG holds tremendous promise as a quantitative biomarker of clinical phenomenon such as the change in brain function over discrete time points in development (Marshall et al, 2002), the effects of intervention in developmental disorders (Dawson et al, 2012), prediction of functional outcomes (Gou et al, 2011), early disorder detection (Bosl et al, 2011), disease progression (Luckhaus et al, 2008), and subgroup (Clarke et al, 2011) and group (Barry et al, 2010) differences in childhood psychiatric disorders. QEEG holds particular appeal as a metric of individual variability in neurodevelopmental disorders, such as autism spectrum disorder (ASD), where behavioral output is limited and sometimes unable to capture phenotypic and functional heterogeneity (Cantor and Chabot, 2009; Saby and Marshall, 2012).…”