STATSLAB: An open-source EEG toolbox for computing single-subject effects using robust statistics.

Research on robust statistics during the past half century provides concrete evidence that classical hypothesis tests that rely on the sample mean and variance are problematic. Even seemingly minor departures from normality are now known to create major problems in terms of increased error rates and decreased power. Fortunately, numerous robust estimation techniques have been developed that circumvent the need for strict assumptions of normality and equal variances, leading to increased power and accuracy when testing hypotheses.

A functional classification of medial frontal negativity ERPs: Theta oscillations and single subject effects.

Theta oscillations in the EEG have been linked to several ERPs that are elicited during performance-monitoring tasks, including the error-related negativity (ERN), no-go N2, and the feedback-related negativity (FRN). We used a novel paradigm to isolate independent components (ICs) in single subjects' (n = 27) EEG accounting for a medial frontal negativity (MFN) to response cue stimuli that signal a potential change in future response demands. Medial frontal projecting ICs that were sensitive to these response cues also described the ERNs, no-go N2s, and, to a lesser extent, the FRNs, that were elicited in letter flanker, go/no-go, and time-estimation tasks, respectively.