Identifying differences in the P600 component of ERP-Signals between OCD patients and controls employing a PNN-based majority vote classification scheme

dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Πήλιουρας, Νικόλαος	el
dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.date.accessioned	2015-01-26T07:31:39Z
dc.date.available	2015-01-26T07:31:39Z
dc.date.issued	2015-01-26
dc.identifier.uri	http://hdl.handle.net/11400/4735
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Obsessive-compulsive disorder
dc.subject	Pattern recognition
dc.subject	Ιδεοψυχαναγκαστική διαταραχή
dc.subject	Αναγνώρισης προτύπων
dc.title	Identifying differences in the P600 component of ERP-Signals between OCD patients and controls employing a PNN-based majority vote classification scheme	el
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 27th International Conference of the IEEE Engineering in Medicine & Biology Society	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρικά όργανα και εξοπλισμός
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρικά όργανα και εξοπλισμός
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85093751
heal.keywordURI	http://skos.um.es/unescothes/C02924
heal.contributorName	Ραμπαβίλας, Ανδρέας Ν.	el
heal.contributorName	Σολδάτος, Κωνσταντίνος Ρ.	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.identifier.secondary	ISBN 0-7803-8740-6
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2005
heal.bibliographicCitation	Kalatzis, I., Piliouras, N., Glotsos, D., Ventouras, E., Papageorgiou, C., et al. (2005). Identifying differences in the P600 component of ERP-Signals between OCD patients and controls employing a PNN-based majority vote classification scheme. In the 27th International Conference of the IEEE Engineering in Medicine & Biology Society. pp. 3994-3997. IEEE Engineering in Medicine and Biology Society: Shanghai, 1st-4th September 2005.	en
heal.abstract	In the present study an attempt was made to focus in the differences between Obsessive-Compulsive Disorder (OCD) patients and healthy controls, as reflected by the P600 component of event-related potential (ERP) signals, to locate brain areas that may be related to Working Memory (WM) deficits. Neuropsychological research has yielded contradicting results regarding WM in OCD. Eighteen patients with OCD symptomatology and 20 normal controls (age and sex matched) were subjected to a computerized version of the digit span Wechsler test. EEG activity was recorded from 15 scalp electrodes (leads). A dedicated computer software was developed to read the ERP signals and to calculate features related to the ERP P600 component (500-800 ms). Nineteen features were generated, from each ERP-signal and each lead, and were employed in the design of the Probabilistic Neural Network (PNN) classifier. Highest single-lead precision (86.8%) was found at the Fp2 and C6 leads. When the output from all singlelead PNN classifiers fed a Majority Vote Engine (MVE), the system classified correctly all subjects, providing a powerful classification scheme. Findings indicated that OCD patients differed from normal controls at the prefrontal and temporo-central brain regions.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference of the IEEE Engineering in Medicine & Biology Society	en
heal.conferenceItemType	full paper