The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia.
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Barca, Maria Lage
Bo Andersen, Birgitte
Winther Dombernowsky, Nanna
Gudmundsson, Thorkell Eli
MetadataShow full item record
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.
ÚtdrátturIntroduction: 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.
Lu00FDsingTo access publisher's full text version of this article click on the hyperlink below
Rights© 2020 S. Karger AG, Basel.
- Subjective cognitive decline and progression to dementia in Parkinson's disease: a long-term follow-up study.
- Authors: Galtier I, Nieto A, Lorenzo JN, Barroso J
- Issue date: 2019 Mar
- Plasma and cerebrospinal fluid amyloid beta for the diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI).
- Authors: Ritchie C, Smailagic N, Noel-Storr AH, Takwoingi Y, Flicker L, Mason SE, McShane R
- Issue date: 2014 Jun 10
- Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer's dementia.
- Authors: Frölich L, Peters O, Lewczuk P, Gruber O, Teipel SJ, Gertz HJ, Jahn H, Jessen F, Kurz A, Luckhaus C, Hüll M, Pantel J, Reischies FM, Schröder J, Wagner M, Rienhoff O, Wolf S, Bauer C, Schuchhardt J, Heuser I, Rüther E, Henn F, Maier W, Wiltfang J, Kornhuber J
- Issue date: 2017 Oct 10
- Sustainable method for Alzheimer dementia prediction in mild cognitive impairment: Electroencephalographic connectivity and graph theory combined with apolipoprotein E.
- Authors: Vecchio F, Miraglia F, Iberite F, Lacidogna G, Guglielmi V, Marra C, Pasqualetti P, Tiziano FD, Rossini PM
- Issue date: 2018 Aug
- The Digital Tree Drawing Test for Screening of Early Dementia: An Explorative Study Comparing Healthy Controls, Patients with Mild Cognitive Impairment, and Patients with Early Dementia of the Alzheimer Type.
- Authors: Robens S, Heymann P, Gienger R, Hett A, Müller S, Laske C, Loy R, Ostermann T, Elbing U
- Issue date: 2019