Jeremy Harper1, Stephen M Malone2, Edward M Bernat3. 1. Department of Psychology, Florida State University, USA. Electronic address: harper@psy.fsu.edu. 2. Department of Psychology, University of Minnesota, USA. 3. Department of Psychology, Florida State University, USA. Electronic address: ebernat@fsu.edu.
Abstract
OBJECTIVES: Recent work indicates that the feedback negativity and P3 components from gambling feedback tasks can be understood as mixtures of functionally distinct processes occurring separately in theta and delta frequency bands. The current study was conducted to assess whether dissociable processes occurring in the theta and delta bands would similarly account for activity underlying N2 and P3 components in a go/no-go task. METHODS: The current study measured EEG signals from 66 participants during a go/no-go task, and a time-frequency principal components analysis decomposition approach was used to extract theta and delta measures from condition averages. RESULTS: Theta and delta measures separately increased in relation to response inhibition, and were uniquely related to the N2 and P3 components, as predicted. CONCLUSIONS: Findings support the view that the theta and delta measures indexed separable processes related to response inhibition, and better indexed the processes underlying N2 and P3 components in this go/no-go task. SIGNIFICANCE: Theta and delta measures may index separable functional processes across other common ERP tasks, and may represent an improved target for research relative to standard time-domain components.
OBJECTIVES: Recent work indicates that the feedback negativity and P3 components from gambling feedback tasks can be understood as mixtures of functionally distinct processes occurring separately in theta and delta frequency bands. The current study was conducted to assess whether dissociable processes occurring in the theta and delta bands would similarly account for activity underlying N2 and P3 components in a go/no-go task. METHODS: The current study measured EEG signals from 66 participants during a go/no-go task, and a time-frequency principal components analysis decomposition approach was used to extract theta and delta measures from condition averages. RESULTS: Theta and delta measures separately increased in relation to response inhibition, and were uniquely related to the N2 and P3 components, as predicted. CONCLUSIONS: Findings support the view that the theta and delta measures indexed separable processes related to response inhibition, and better indexed the processes underlying N2 and P3 components in this go/no-go task. SIGNIFICANCE: Theta and delta measures may index separable functional processes across other common ERP tasks, and may represent an improved target for research relative to standard time-domain components.
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