Contrasting time and frequency domains: ERN and induced theta oscillations differentially predict post-error behavior

The present study investigated the neural dynamics of error processing in both the time and frequency domains, as well as associated behavioral phenomena, at the single-trial level. We used a technique that enabled us to separately investigate the evoked and induced aspects of the EEG signal (Cohen...

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Published in:Cognitive, affective, & behavioral neuroscience Vol. 20; no. 3; pp. 636 - 647
Main Authors: Beatty, Paul J., Buzzell, George A., Roberts, Daniel M., McDonald, Craig G.
Format: Journal Article
Language:English
Published: New York Springer US 01-06-2020
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Summary:The present study investigated the neural dynamics of error processing in both the time and frequency domains, as well as associated behavioral phenomena, at the single-trial level. We used a technique that enabled us to separately investigate the evoked and induced aspects of the EEG signal (Cohen & Donner, 2013 , Journal of Neurophysiology , 110[12], 2752–2763). We found that at the single-trial level, while the (evoked) error-related negativity (ERN) predicted only post-error slowing (PES)—and only when errors occurred on incongruent trials—induced frontal midline theta power served as a robust predictor of both PES and post-error accuracy (PEA) regardless of stimulus congruency. Mediation models of both electrophysiological indices demonstrated that although the relationship between theta and PEA was mediated by PES, there was not a relationship between the ERN and PEA. Our data suggest that although the ERN and frontal midline theta index functionally related underlying cognitive processes, they are not simply the same process manifested in different domains. In addition, our findings are consistent with the adaptive theory of post-error slowing, as PES was positively associated with post-error accuracy at the single-trial level. More generally, our study provides additional support for the inclusion of a time-frequency approach to better understand the role of medial frontal cortex in action monitoring.
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ISSN:1530-7026
1531-135X
DOI:10.3758/s13415-020-00792-7