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Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring
- Source :
- Neurobiology of Disease, Vol 183, Iss , Pp 106149- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
Abstract
- Background: In patients with Alzheimer's disease (AD) without clinical seizures, up to half have epileptiform discharges on long-term in-patient electroencephalography (EEG) recordings. Long-term in-patient monitoring is obtrusive, and expensive as compared to outpatient monitoring. No studies have so far investigated if long-term outpatient EEG monitoring is able to identify epileptiform discharges in AD. Our aim is to investigate if epileptiform discharges as measured with ear-EEG are more common in patients with AD compared to healthy elderly controls (HC). Methods: In this longitudinal observational study, 24 patients with mild to moderate AD and 15 age-matched HC were included in the analysis. Patients with AD underwent up to three ear-EEG recordings, each lasting up to two days, within 6 months. Results: The first recording was defined as the baseline recording. At baseline, epileptiform discharges were detected in 75.0% of patients with AD and in 46.7% of HC (p-value = 0.073). The spike frequency (spikes or sharp waves/24 h) was significantly higher in patients with AD as compared to HC with a risk ratio of 2.90 (CI: 1.77–5.01, p
Details
- Language :
- English
- ISSN :
- 1095953X
- Volume :
- 183
- Issue :
- 106149-
- Database :
- Directory of Open Access Journals
- Journal :
- Neurobiology of Disease
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4780dc1e318a45ad9269af33e56b0508
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.nbd.2023.106149