from the ASD population and from the controls with significant classification success. In these studies, although the authors have not directly compared the raw EEG potentials with CSD measures, they state that they have employed surface Laplacian methods in order to minimize the effect of volume conduction on coherence estimates by emphasizing sources at smaller spatial scales than unprocessed scalp potentials (EEG). Lastly, Ponomarev et al. (2014) found significant reduction in CSD spectral power in the ADHD group compared to healthy subjects in delta, theta, alpha and beta1 bands, although no significant CSD differences were observed for the subgroups of patients with ADHD. In the same study, it was also evident that transformation of the raw EEG into the CSD data significantly increased the sensitivity of the spectral analysis in detecting differences between ADHD patients and healthy subjects. Overall, these studies provide evidence that CSD can provide more useful and interpretable measures than the raw EEG potentials in childhood and developmental disorders as well, although there is an obvious dearth of studies in this important clinical domain. Therefore, more CSD studies during different task conditions are necessary in order to elicit, understand and establish the neurocognitive markers for various childhood
