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dc.contributor.authorEngedal, Knut
dc.contributor.authorBarca, Maria Lage
dc.contributor.authorHøgh, Peter
dc.contributor.authorBo Andersen, Birgitte
dc.contributor.authorWinther Dombernowsky, Nanna
dc.contributor.authorNaik, Mala
dc.contributor.authorGudmundsson, Thorkell Eli
dc.contributor.authorØksengaard, Anne-Rita
dc.contributor.authorWahlund, Lars-Olof
dc.contributor.authorSnaedal, Jon
dc.date.accessioned2020-10-01T12:13:44Z
dc.date.available2020-10-01T12:13:44Z
dc.date.issued2020-07-01
dc.date.submitted2020-10
dc.identifier.citationEngedal K, Barca ML, Høgh P, Bo Andersen B, Winther Dombernowsky N, Naik M, Gudmundsson TE, Øksengaard AR, Wahlund LO, Snaedal J. The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia. Dement Geriatr Cogn Disord. 2020;49(1):38-47. doi: 10.1159/000508392. Epub 2020 Jul 1. PMID: 32610316.en_US
dc.identifier.pmid32610316
dc.identifier.doi10.1159/000508392
dc.identifier.urihttp://hdl.handle.net/2336/621539
dc.descriptionTo access publisher's full text version of this article click on the hyperlink belowen_US
dc.description.abstractIntroduction: The aim of this study was to examine if quantitative electroencephalography (qEEG) using the statistical pattern recognition (SPR) method could predict conversion to dementia in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). Methods: From 5 Nordic memory clinics, we included 47 SCD patients, 99 MCI patients, and 67 healthy controls. EEGs analyzed with the SPR method together with clinical data recorded at baseline were evaluated. The patients were followed up for a mean of 62.5 (SD 17.6) months and reexamined. Results: Of 200 participants with valid clinical information, 70 had converted to dementia, and 52 had developed Alzheimer's disease. Receiver-operating characteristic analysis of the EEG results as defined by a dementia index (DI) ranging from 0 to 100 revealed that the area under the curve was 0.78 (95% CI 0.70-0.85), corresponding to a sensitivity of 71%, specificity of 69%, and accuracy of 69%. A logistic regression analysis showed that by adding results of a cognitive test at baseline to the EEG DI, accuracy could improve. Conclusion: We conclude that applying qEEG using the automated SPR method can be helpful in identifying patients with SCD and MCI that have a high risk of converting to dementia over a 5-year period. As the discriminant power of the method is of moderate degree, it should be used in addition to routine diagnostic methods. Keywords: Dementia; EEG; Mild cognitive impairment; Subjective cognitive decline.en_US
dc.description.sponsorshipKavli Charitable Trust in Bergen, Norwayen_US
dc.language.isoenen_US
dc.publisherKargeren_US
dc.relation.urlhttps://www.karger.com/Article/FullText/508392en_US
dc.rights© 2020 S. Karger AG, Basel.
dc.subjectDementiaen_US
dc.subjectEEGen_US
dc.subjectMild cognitive impairmenten_US
dc.subjectSubjective cognitive declineen_US
dc.subjectHeilariten_US
dc.subjectHeilabilunen_US
dc.subject.meshElectroencephalographyen_US
dc.subject.meshDementiaen_US
dc.titleThe Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia.en_US
dc.typeArticleen_US
dc.typeOtheren_US
dc.identifier.eissn1421-9824
dc.contributor.department1Norwegian Advisory Unit for Aging and Health, Vestfold Health Trust, Tønsberg, Norway, knut.engedal@aldringoghelse.no. 2Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway, knut.engedal@aldringoghelse.no. 3Norwegian Advisory Unit for Aging and Health, Vestfold Health Trust, Tønsberg, Norway. 4Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway. 5Department of Neurology, Regional Dementia Research Center, Zealand University Hospital, Roskilde, Denmark. 6Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. 7Department of Neurology, Danish Dementia Research Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. 8Department of Geriatric Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway. 9Department of Clinical Science, University of Bergen, Bergen, Norway. 10Department of Geriatric Medicine, Landspitali University Hospital, Reykjavik, Iceland. 11Norwegian National Health Association, Oslo, Norway. 12Section for Clinical Geriatrics, NVS Department, Center for Alzheimer Research, Karolinska Institute, Stockholm, Sweden.en_US
dc.identifier.journalDementia and geriatric cognitive disordersen_US
dc.rights.accessOpen Access - Opinn aðganguren_US
dc.departmentcodeGER12
dc.source.journaltitleDementia and geriatric cognitive disorders
dc.source.volume49
dc.source.issue1
dc.source.beginpage38
dc.source.endpage47
dc.source.countrySwitzerland


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