Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/5725
Title: Classification of event-related potentials associated with response errors in actors and observers based on autoregressive modeling
Authors: Βάσιος, Χρήστος
Βεντούρας, Ερρίκος Μ.
Ματσόπουλος, Γεώργιος Κ.
Καρανάσιου, Ειρήνη Σ.
Ασβεστάς, Παντελής Α.
Contributors: Ουζούνογλου, Νικόλαος Κ.
Van Schie, Hein T.
de Bruijn, Ellen R.A.
Item type: Journal article
Keywords: Electrical activity;Brain;Ηλεκτρική δραστηριότητα;Εγκέφαλος
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 6-Feb-2015
2009
Date of availability: 6-Feb-2015
Publisher: Bentham Open
Abstract: Event-Related Potentials (ERPs) provide non-invasive measurements of the electrical activity on the scalp related to the processing of stimuli and preparation of responses by the brain. In this paper an ERP-signal classification method is proposed for discriminating between ERPs of correct and incorrect responses of actors and of observers seeing an actor making such responses. The classification method targeted signals containing error-related negativity (ERN) and error positivity (Pe) components, which are typically associated with error processing in the human brain. Feature extraction consisted of Multivariate Autoregressive modeling combined with the Simulated Annealing technique. The resulting information was subsequently classified by means of an Artificial Neural Network (ANN) using back-propagation algorithm under the “leave-one-out cross-validation” scenario and the Fuzzy C-Means (FCM) algorithm. The ANN consisted of a multi-layer perceptron (MLP). The approach yielded classification rates of up to 85%, both for the actors’ correct and incorrect responses and the corresponding ERPs of the observers. The electrodes needed for such classifications were situated mainly at central and frontal areas. Results provide indications that the classification of the ERN is achievable. Furthermore, the availability of the Pe signals, in addition to the ERN, improves the classification, and this is more pronounced for observers’ signals. The proposed ERP-signal classification method provides a promising tool to study error detection and observational-learning mechanisms in performance monitoring and joint-action research, in both healthy and patient populations.
Description: Open access journal
Language: English
Citation: Vasios, C., Ventouras, E., Matsopoulos, G., Karanasiou, I., Asvestas, P., et al. (2009). Classification of event-related potentials associated with response errors in actors and observers based on autoregressive modeling. The Open Medical Informatics Journal. vol. 3. pp. 32-43. Bentham Open. Available from: http://www.ncbi.nlm.nih.gov [Accessed 15/05/2009]
Journal: The Open Medical Informatics Journal
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/5725
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