Peter E. Clayson

TL;DR: There is considerable evidence that amplitude of the ERN is sensitive to the degree of response conflict, consistent with a role in conflict monitoring, and it remains unclear, however, to what degree contextual, individual, affective, and motivational factors influence ERN amplitudes and how ERN Amplitudes are related to regulative changes in behavior.

TL;DR: Results indicated mean amplitude was the most robust against increases in background noise and the adaptive mean measure was more biased, but represented an efficient estimator of the true ERP signal particularly for individual-subject latency variability.

TL;DR: Results indicate that RTs and ERP measures are sensitive to modulations of cognitive control associated with conflict across multiple congruent and incongruent trials.

TL;DR: A detailed description of the conceptual framework of G theory is provided using examples relevant to ERP researchers, the algorithms needed to estimate ERP score reliability are presented, and a detailed walkthrough of newly-developed software, the ERP Reliability Analysis (ERA) Toolbox, that calculates score reliability using G theory are provided.

TL;DR: The present review considers the contextual factors that influence ERP score reliability and the downstream effects that reliability has on statistical analyses and advocates the use of generalizability theory for estimating score dependability as an improvement on classical test theory reliability estimates, suggesting that the latter is less well suited to ERP research.