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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Schumacher, Julia Taylor, John-Paul Hamilton, Calum A. Firbank, Michael Cromarty, Ruth A. Donaghy, Paul C. Roberts, Gemma Allan, Louise Lloyd, Jim Durcan, Rory Barnett, Nicola O’Brien, John T. Thomas, Alan J. |
| Abstract | Objectives To investigate using quantitative EEG the (1) differences between patients with mild cognitive impairment with Lewy bodies (MCI-LB) and MCI with Alzheimer’s disease (MCI-AD) and (2) its utility as a potential biomarker for early differential diagnosis. Methods We analyzed eyes-closed, resting-state, high-density EEG data from highly phenotyped participants (39 MCI-LB, 36 MCI-AD, and 31 healthy controls). EEG measures included spectral power in different frequency bands (delta, theta, pre-alpha, alpha, and beta), theta/alpha ratio, dominant frequency, and dominant frequency variability. Receiver operating characteristic (ROC) analyses were performed to assess diagnostic accuracy. Results There was a shift in power from beta and alpha frequency bands towards slower frequencies in the pre-alpha and theta range in MCI-LB compared to healthy controls. Additionally, the dominant frequency was slower in MCI-LB compared to controls. We found significantly increased pre-alpha power, decreased beta power, and slower dominant frequency in MCI-LB compared to MCI-AD. EEG abnormalities were more apparent in MCI-LB cases with more diagnostic features. There were no significant differences between MCI-AD and controls. In the ROC analysis to distinguish MCI-LB from MCI-AD, beta power and dominant frequency showed the highest area under the curve values of 0.71 and 0.70, respectively. While specificity was high for some measures (up to 0.97 for alpha power and 0.94 for theta/alpha ratio), sensitivity was generally much lower. Conclusions Early EEG slowing is a specific feature of MCI-LB compared to MCI-AD. However, there is an overlap between the two MCI groups which makes it difficult to distinguish between them based on EEG alone. |
| Related Links | https://alzres.biomedcentral.com/counter/pdf/10.1186/s13195-020-00650-1.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17589193 |
| DOI | 10.1186/s13195-020-00650-1 |
| Journal | Alzheimer's Research & Therapy |
| Issue Number | 1 |
| Volume Number | 12 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2020-07-08 |
| Access Restriction | Open |
| Subject Keyword | Neurosciences Neurology Geriatrics Gerontology Geriatric Psychiatry Dementia with Lewy bodies Alzheimer’s disease Quantitative electroencephalography Biomarker Geriatrics/Gerontology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neurology Neurology (clinical) Cognitive Neuroscience |
| Journal Impact Factor | 8/2023 |
| 5-Year Journal Impact Factor | 8.3/2023 |
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