Detecting seizure patterns in patients with Alzheimer's disease using long‐term EEG monitoring: A feasibility study: Neuropsychiatry and behavioral neurology/Dementia. (7th December 2020)
- Record Type:
- Journal Article
- Title:
- Detecting seizure patterns in patients with Alzheimer's disease using long‐term EEG monitoring: A feasibility study: Neuropsychiatry and behavioral neurology/Dementia. (7th December 2020)
- Main Title:
- Detecting seizure patterns in patients with Alzheimer's disease using long‐term EEG monitoring: A feasibility study
- Authors:
- Musaeus, Christian Sandøe
Waldemar, Gunhild
Larsson, Henrik Bo Wiberg
Andersen, Birgitte Bo
Høgh, Peter
Kidmose, Preben
Hasselbalch, Steen Gregers
Fabricius, Martin
Tøpholm, Richard
Rank, Mike Lind
Kjær, Troels Wesenberg
Frederiksen, Kristian Steen - Abstract:
- Abstract: Background: Seizure patterns as detected with electroencephalography (EEG) has been suggested to be frequent in patients with Alzheimer's disease. However, long‐term EEG monitoring to detect seizure patterns requires hospitalization for longer periods of time, which is both expensive and difficult for patients with Alzheimer's disease.In the current feasibility study, we investigated whether it was possible for patients with Alzheimer's disease to wear ear‐EEG for long‐term EEG monitoring of seizure patterns at home. Method: We recruited patients who met the criteria for Alzheimer's disease and had no previous history of epilepsy. Seizure patterns was assessed using long‐term EEG monitoring with ear‐EEG for 48 hours every three months for half a year. Furthermore, patients and relatives were instructed in the use of a seizure diary, which was used during the ear‐EEG recordings. Result: So far, we have recruited 9 patients with Alzheimer's disease, and all patients who underwent ear‐EEG monitoring have been able to wear the ear‐EEG for at least 24 hours including sleep. We are currently in the process of investigating whether the patients with Alzheimer's disease show seizure patterns as measured with ear‐EEG. Conclusion: Long‐term EEG monitoring using ear‐EEG seems to be feasible for measuring seizure patterns in patients with Alzheimer's disease. If any of the patients show seizure patterns using ear‐EEG, we will be able to treat with anti‐epileptic medication,Abstract: Background: Seizure patterns as detected with electroencephalography (EEG) has been suggested to be frequent in patients with Alzheimer's disease. However, long‐term EEG monitoring to detect seizure patterns requires hospitalization for longer periods of time, which is both expensive and difficult for patients with Alzheimer's disease.In the current feasibility study, we investigated whether it was possible for patients with Alzheimer's disease to wear ear‐EEG for long‐term EEG monitoring of seizure patterns at home. Method: We recruited patients who met the criteria for Alzheimer's disease and had no previous history of epilepsy. Seizure patterns was assessed using long‐term EEG monitoring with ear‐EEG for 48 hours every three months for half a year. Furthermore, patients and relatives were instructed in the use of a seizure diary, which was used during the ear‐EEG recordings. Result: So far, we have recruited 9 patients with Alzheimer's disease, and all patients who underwent ear‐EEG monitoring have been able to wear the ear‐EEG for at least 24 hours including sleep. We are currently in the process of investigating whether the patients with Alzheimer's disease show seizure patterns as measured with ear‐EEG. Conclusion: Long‐term EEG monitoring using ear‐EEG seems to be feasible for measuring seizure patterns in patients with Alzheimer's disease. If any of the patients show seizure patterns using ear‐EEG, we will be able to treat with anti‐epileptic medication, which may improve their symptoms. … (more)
- Is Part Of:
- Alzheimer's & dementia. Volume 16(2020)Supplement 6
- Journal:
- Alzheimer's & dementia
- Issue:
- Volume 16(2020)Supplement 6
- Issue Display:
- Volume 16, Issue 6 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 6
- Issue Sort Value:
- 2020-0016-0006-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-12-07
- Subjects:
- Alzheimer's disease -- Periodicals
Alzheimer Disease -- Periodicals
Dementia -- Periodicals
Démence
Maladie d'Alzheimer
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
616.83 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15525260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1002/alz.042025 ↗
- Languages:
- English
- ISSNs:
- 1552-5260
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0806.255333
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21899.xml