Power-to-Potential Correlations Identify Markers of Response Inhibition in Human EEG

dc.contributor.advisorMaris, E.G.G.
dc.contributor.advisorBonnefond, Mathilde
dc.contributor.authorWeise, Lorenz
dc.date.issued2015-08-21
dc.description.abstractWhile different ERP markers of response inhibition have been documented in the literature, these are usually identified by comparing either executed- versus inhibited responses (the Go/NoGo task) or correctly inhibited- versus incorrectly executed responses (the stop-signal task). Not only are these comparisons confounded with response execution and/or error commission, but they also ignore other information available that can be used to identify traces of response inhibition in human EEG. We designed a novel task that forces participants to continuously prepare a response and then inhibit it in favor of another response, mostly without the need to actually execute a response. Building on the assumption that more strongly prepared responses also require stronger inhibition to be overruled, we index how strongly a previous response was prepared, through the alpha- and beta power decrease over motor channels, and then correlate this index with the ERP during the following response inhibition period, to identify components that scale with the required strength of inhibition. With this approach, unconfounded by response execution or error commission, we identify a frontal negativity and parietal positivity related to response inhibition. Furthermore, we provide some tentative evidence that this topography can also distinguish between successful and unsuccessful response inhibition when motor confounds are eliminated.en_US
dc.embargo.lift2040-08-21
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/5057
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationResearchmaster Cognitive Neuroscienceen_US
dc.thesis.studyprogrammeResearchmaster Cognitive Neuroscienceen_US
dc.thesis.typeResearchmasteren_US
dc.titlePower-to-Potential Correlations Identify Markers of Response Inhibition in Human EEGen_US
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