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dc.contributor.authorSnaedal, J
dc.contributor.authorJohannesson, G H
dc.contributor.authorGudmundsson, T E
dc.contributor.authorGudmundsson, S
dc.contributor.authorPajdak, T H
dc.contributor.authorJohnsen, K
dc.date.accessioned2010-10-28T16:42:28Z
dc.date.available2010-10-28T16:42:28Z
dc.date.issued2010-06
dc.date.submitted2010-10-28
dc.identifier.citationClin Neurophysiol. 2010, 121(6):836-41en
dc.identifier.issn1872-8952
dc.identifier.pmid20153691
dc.identifier.doi10.1016/j.clinph.2010.01.008
dc.identifier.urihttp://hdl.handle.net/2336/113955
dc.descriptionTo access publisher full text version of this article. Please click on the hyperlink in Additional Links fielden
dc.description.abstractOBJECTIVE: To use multivariate statistical analysis of EEG data in order to separate EEGs of patients with Alzheimer's disease (AD) from controls. A group of individuals with mild cognitive impairment (MCI) was evaluated using the same methodology. Additionally, the effects of scopolamine on this separation are studied. METHODS: Statistical pattern recognition (SPR) is used in conjunction with information extracted from EEGs before and after administration of scopolamine. RESULTS: There was complete separation of the AD group and controls before administration of scopolamine. The separation increased after scopolamine had been given. Of the 10 MCI individuals, five seemed to belong to the AD group. Three of those progressed to AD within 1 year and one after 3 years. CONCLUSIONS: Using SPR on EEG recordings it is possible to separate AD from controls. This separation can be increased by the use of scopolamine but the medication is not a prerequisite for classification. The results indicate that SPR is useful for predicting progress of MCI to AD. SIGNIFICANCE: EEG registration is a simple and noninvasive method. If these results are confirmed in other studies, this method could be more widely applied than the highly specialized methods used today in detection of early AD.
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://dx.doi.org/10.1016/j.clinph.2010.01.008en
dc.subject.meshAgeden
dc.subject.meshAged, 80 and overen
dc.subject.meshAlzheimer Diseaseen
dc.subject.meshBrain Mappingen
dc.subject.meshCerebral Cortexen
dc.subject.meshCognition Disordersen
dc.subject.meshDisease Progressionen
dc.subject.meshElectroencephalographyen
dc.subject.meshFemaleen
dc.subject.meshHumansen
dc.subject.meshMaleen
dc.subject.meshMiddle Ageden
dc.subject.meshNeuropsychological Testsen
dc.subject.meshPatient Selectionen
dc.subject.meshPattern Recognition, Automateden
dc.subject.meshPilot Projectsen
dc.subject.meshScopolamineen
dc.subject.meshSignal Processing, Computer-Assisteden
dc.titleThe use of EEG in Alzheimer's disease, with and without scopolamine - a pilot studyen
dc.typeArticleen
dc.contributor.departmentLandspitali University Hospital, Memory Clinic, Geriatric Department, Landakot, 101 Reykjavik, Iceland.en
dc.identifier.journalClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiologyen
html.description.abstractOBJECTIVE: To use multivariate statistical analysis of EEG data in order to separate EEGs of patients with Alzheimer's disease (AD) from controls. A group of individuals with mild cognitive impairment (MCI) was evaluated using the same methodology. Additionally, the effects of scopolamine on this separation are studied. METHODS: Statistical pattern recognition (SPR) is used in conjunction with information extracted from EEGs before and after administration of scopolamine. RESULTS: There was complete separation of the AD group and controls before administration of scopolamine. The separation increased after scopolamine had been given. Of the 10 MCI individuals, five seemed to belong to the AD group. Three of those progressed to AD within 1 year and one after 3 years. CONCLUSIONS: Using SPR on EEG recordings it is possible to separate AD from controls. This separation can be increased by the use of scopolamine but the medication is not a prerequisite for classification. The results indicate that SPR is useful for predicting progress of MCI to AD. SIGNIFICANCE: EEG registration is a simple and noninvasive method. If these results are confirmed in other studies, this method could be more widely applied than the highly specialized methods used today in detection of early AD.


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