ERP-based multivariate pattern classification predicts errors before an overt response is executed

Abstract

Event Abstract Back to Event ERP-based multivariate pattern classification predicts errors before an overt response is executed Stefan Bode1* and Jutta Stahl2 1 University of Melbourne, Melbourne School of Psychological Sciences, Australia 2 University of Cologne, Department of Psychology, Germany Error detection is an important aspect of cognitive control. The earliest electrophysiological marker of error processing is the error-related negativity (ERN) that peaks ~80-100ms after an overt response and could be related to the detection of a mismatch between required and performed response representations. It is unknown, however, whether error processing could take place even before the execution of an already initiated erroneous response. We used a highly sensitive multivariate pattern classification approach for electroencephalography that can detect choice-related information before it is reflected in average event-related potentials (ERP) (Bode et al., 2012, J Neurosci). Data from 18 participants (from a larger sample of 94) that made ≥50 errors in an Eriksen-flanker-task were analysed. In this task, participants were instructed to respond to the central letters on the screen and ignore the flanking letters that could be congruent (HHHHH, SSSSS) or incongruent (HHSHH, SSHSS). After performing a current source density analysis on the data to reduce local redundancies, the spatial-temporal patterns within all 10ms time-windows across all 61 channels were analysed using linear support vector machine classifiers. A 10-fold cross-validation procedure was employed for training and testing on randomly drawn single trials. We could predict errors from correct responses from ~40ms before response initiation, significantly preceding the ERN. This effect was mainly driven by congruent trials, supporting error detection theories, which implies that for errors in congruent trials mismatch detection is facilitated. We show that the brain might process these error signals even faster than postulated so far. References Bode S, Sewell D, Lilburn S, Forte J, Smith PL, Stahl J (2012). Predicting perceptual decision biases from early brain activity. J Neurosci, 32, 12488-98. Keywords: error processing, Electroencephalography (EEG), multivariate pattern classification, prediction of errors, pre-response signals Conference: ACNS-2012 Australasian Cognitive Neuroscience Conference, Brisbane, Australia, 29 Nov - 2 Dec, 2012. Presentation Type: Oral Presentation Topic: Executive Processes Citation: Bode S and Stahl J (2012). ERP-based multivariate pattern classification predicts errors before an overt response is executed. Conference Abstract: ACNS-2012 Australasian Cognitive Neuroscience Conference. doi: 10.3389/conf.fnhum.2012.208.00019 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 25 Oct 2012; Published Online: 07 Nov 2012. * Correspondence: Dr. Stefan Bode, University of Melbourne, Melbourne School of Psychological Sciences, Melbourne, Australia, 314026@frontiersin.org Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Stefan Bode Jutta Stahl Google Stefan Bode Jutta Stahl Google Scholar Stefan Bode Jutta Stahl PubMed Stefan Bode Jutta Stahl Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.