Parsing the Componential Structure of Post Error ERPs: A Principal Component Analysis of ERPs following errors
Document Type
Article
Publication Date
11-2009
Keywords
EEG/ERP, Error related negativity, Pe, Principal components analysis
Digital Object Identifier (DOI)
https://doi.org/10.1111/j.1469-8986.2009.00857.x
Abstract
We report the results of two experiments designed to clarify the spatial and temporal characteristics of the positive deflection that follows the error related negativity (ERN) elicited to incorrect responses in speeded reaction time tasks. Principal components analysis (PCA) indicates that the positive deflection reported to follow the ERN is composed of two different components: (a) a fronto‐cental positive deflection that follows the ERN and shares its spatial distribution and (b) a P300. When accuracy was required of the participants, the ERN and the P300 were larger in amplitude than when speed and accuracy were equally weighted. On the other hand, the amplitude of the fronto‐central positive component was not affected by the degree to which accuracy was stressed.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Psychophysiology, v. 46, issue 6, p. 1179-1198
Scholar Commons Citation
Arbel, Yael and Donchin, Emanuel, "Parsing the Componential Structure of Post Error ERPs: A Principal Component Analysis of ERPs following errors" (2009). Psychology Faculty Publications. 347.
https://digitalcommons.usf.edu/psy_facpub/347
