Unknown

Dataset Information

Evaluating the effectiveness of artifact correction and rejection in event-related potential research.


ABSTRACT: Eyeblinks and other large artifacts can create two major problems in event-related potential (ERP) research, namely confounds and increased noise. Here, we developed a method for assessing the effectiveness of artifact correction and rejection methods at minimizing these two problems. We then used this method to assess a common artifact minimization approach, in which independent component analysis (ICA) is used to correct ocular artifacts, and artifact rejection is used to reject trials with extreme values resulting from other sources (e.g., movement artifacts). This approach was applied to data from five common ERP components (P3b, N400, N170, mismatch negativity, and error-related negativity). Four common scoring methods (mean amplitude, peak amplitude, peak latency, and 50% area latenc

SUBMITTER: Zhang G 

PROVIDER: S-EPMC10516012 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature