Cortical beta power reflects decision dynamics and uncovers multiple facets of post-error adaptation

Adrian G. Fischer (), Roland Nigbur, Tilmann A. Klein, Claudia Danielmeier and Markus Ullsperger
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Adrian G. Fischer: Otto-von-Guericke University
Roland Nigbur: Otto-von-Guericke University
Tilmann A. Klein: Otto-von-Guericke University
Claudia Danielmeier: University of Nottingham
Markus Ullsperger: Otto-von-Guericke University

Nature Communications, 2018, vol. 9, issue 1, 1-14

Abstract: Abstract Adapting to errors quickly is essential for survival. Reaction slowing after errors is commonly observed but whether this slowing is adaptive or maladaptive is unclear. Here, we analyse a large dataset from a flanker task using two complementary approaches: a multistage drift-diffusion model, and the lateralisation of EEG beta power as a time-resolved index of choice formation. Fitted model parameters and their independently measured neuronal proxies in beta power convergently show a complex interplay of multiple mechanisms initiated after mistakes. Suppression of distracting evidence, response threshold increase, and reduction of evidence accumulation cause slow and accurate post-error responses. This data provides evidence for both adaptive control and maladaptive orienting after errors yielding an adaptive net effect – a decreased likelihood to repeat mistakes. Generally, lateralised beta power provides a non-invasive readout of action selection for the study of speeded cognitive control processes.

Date: 2018
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DOI: 10.1038/s41467-018-07456-8

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