![]() Moreover, cognitive processes such as attention, memory, cognitive inhibition, and feature binding can be characterized without requiring an overt behavioral response. Scientific merits notwithstanding, it is the practical benefits of QEEG that often motivate its use in the study of developmental populations, as it is non-invasive, less vulnerable to motion artifact, and more readily available in clinical settings ( Keil et al., 2014 Saby and Marshall, 2012 Webb et al., 2013). 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). 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. Quantitative electrocenphalography (QEEG) has served as a powerful tool to study both typical and atypical brain development and function, informing the understanding of processes such as perception, cognition, and cortical connectivity (For review see: Saby and Marshall, 2012 Uhlhaas et al., 2010).
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