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dc.contributor.authorJervis, Barrie-
dc.contributor.authorBelal, Suliman-
dc.contributor.authorCamilleri, Tracey A.-
dc.contributor.authorBesleaga, Mircea-
dc.contributor.authorBigan, Cristin-
dc.contributor.authorMichalopoulos, Kostas-
dc.contributor.authorZervakis, Michalis-
dc.contributor.authorCamilleri, Kenneth P.-
dc.contributor.authorFabri, Simon G.-
dc.date.accessioned2017-11-23T12:46:00Z-
dc.date.available2017-11-23T12:46:00Z-
dc.date.issued2010-
dc.identifier.citationJervis, B. W., Belal, S., Cassar, T., Besleaga, M., Bigan, C., Michalopoulos, K., Zervakis, M., Camilleri, K. P. & Fabri, S. (2010). Waveform analysis of non-oscillatory independent components in single-trial auditory event-related activity in healthy subjects and Alzheimer's disease patients. Current Alzheimer Research, 7(4), 334-347.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/24143-
dc.description.abstractThe 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_GB
dc.language.isoenen_GB
dc.publisherBentham Science Publishers Ltd.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectAlzheimer's diseaseen_GB
dc.subjectBrain mappingen_GB
dc.subjectEvoked potentials, Auditory -- Physiologyen_GB
dc.subjectDiagnosis, Differentialen_GB
dc.subjectNeural conduction -- Physiologyen_GB
dc.subjectSignal processing, Computer-assisteden_GB
dc.subjectAcoustic stimulationen_GB
dc.titleWaveform analysis of non-oscillatory independent components in single-trial auditory event-related activity in healthy subjects and Alzheimer's disease patientsen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.publication.titleCurrent Alzheimer Researchen_GB
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