Keywords
Event-related potentials (ERPs), Amplitude, Latency, Statistical extraction, Measurement, Simulation
Abstract
There is considerable variability in the quantification of event-related potential (ERP) amplitudes and latencies. Weexamined susceptibility of ERP quantification measures to incremental increases in background noise through publishedERP data and simulations. Measures included mean amplitude, adaptive mean, peak amplitude, peak latency, andcentroid latency. Results indicated mean amplitude was the most robust against increases in background noise. Theadaptive mean measure was more biased, but represented an efficient estimator of the true ERP signal particularly forindividual-subject latency variability. Strong evidence is provided against using peak amplitude. For latency measures,the peak latency measure was less biased and less efficient than the centroid latency measurement. Results emphasize theprudence in reporting the number of trials retained for averaging as well as noise estimates for groups and conditionswhen comparing ERPs.
BYU ScholarsArchive Citation
Baldwin, Scott A.; Clayson, Peter E.; and Larson, Michael J., "How does noise affect amplitude and latency measurement of event-related potentials (ERPs)? A methodological critique and simulation study" (2012). Faculty Publications. 6062.
https://scholarsarchive.byu.edu/facpub/6062
Document Type
Peer-Reviewed Article
Publication Date
2012
Permanent URL
http://hdl.lib.byu.edu/1877/8791
Publisher
2012 Society for Psychophysiological Research
Language
English
College
Family, Home, and Social Sciences
Department
Psychology