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Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring

Authors :
Christian Sandøe Musaeus
Kristian Steen Frederiksen
Birgitte Bo Andersen
Peter Høgh
Preben Kidmose
Martin Fabricius
Melita Cacic Hribljan
Martin Christian Hemmsen
Mike Lind Rank
Gunhild Waldemar
Troels Wesenberg Kjær
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