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Waveform analysis of non-oscillatory independent components in single-trial auditory event-related activity in healthy subjects and Alzheimer's disease patients

Zervakis Michalis, B.W. Jervis, S. Belal, M. Besleaga, K .Michalopoulos, S. Fabri

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URIhttp://purl.tuc.gr/dl/dias/64C18840-1E0B-41C0-882F-AE2A7F74B614-
Identifierhttps://doi.org/10.2174/156720510791162412-
Languageen-
Extent14 pagesen
TitleWaveform analysis of non-oscillatory independent components in single-trial auditory event-related activity in healthy subjects and Alzheimer's disease patientsen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorB.W. Jervisen
CreatorS. Belalen
Creator M. Besleagaen
Creator K .Michalopoulosen
CreatorS. Fabrien
PublisherBentham Science Publishersen
Content SummaryThe objective was to characterize the non-oscillatory independent components (ICs) of the auditory event-related potential (ERP) waveform of an oddball task for normal and newly diagnosed Alzheimer's disease (AD) subjects, and to seek biomarkers for AD. Single trial ERP waveforms were analysed using independent components analysis (ICA) and k-means clustering. Two stages of clustering depended upon the magnitudes and latencies, and the scalp topographies of the non-oscillatory back-projected ICs (BICs) at electrode Cz. The electrical current dipole sources of the BICs were located using Low Resolution Electromagnetic Tomography (LORETA). Generally 3-10 BICs, of different latencies and polarities, occurred in each trial. Each peak was associated with positive and negative BICs. The trial-to-trial variations in their relative numbers and magnitudes may explain the variations in the averaged ERP reported, and the delay in the averaged P300 for AD patients. The BIC latencies, topographies and electrical current density maximum locations varied from trial-to-trial. Voltage foci in the BIC topographies identify the BIC source locations. Since statistical differences were found between the BICs in healthy and AD subjects, the method might provide reliable biomarkers for AD, if these findings are reproduced in a larger study, independently of other factors influencing the comparison of the two populations. The method can extract artefact- and EEG-free single trial ERP waveforms, offers improved ERP averages by selecting the trials on the basis of their BICs, and is applicable to other evoked potentials, conditions and diseases. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-24-
Date of Publication2010-
SubjectClinical laboratory techniciansen
SubjectMedical laboratory techniciansen
Subjectmedical technologistsen
Subjectclinical laboratory techniciansen
Subjectmedical laboratory techniciansen
Bibliographic CitationB.W. Jervis, S. Belal, T. Cassar, M. Besleaga, C. Bigan, K. Michalopoulos, M. Zervakis, K. Camilleri, S. Fabri ," Waveform analysis of non-oscillatory independent components in single-trial auditory event-related activity in healthy subjects and Alzheimer's disease patients,"Cur. Alzheimer Res., vol.7,no.4, pp.334-347,2010. doi:10.2174/156720510791162412en

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