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One Minute of EEG Data Provides Sufficient and Reliable Data for Identifying Lewy Body Dementia

One Minute of EEG Data Provides Sufficient and Reliable Data for Identifying Lewy Body Dementia Objective: To determine the minimum duration of electroencephalography (EEG) data necessary to differentiate EEG features of Lewy body dementia (LBD), that is, dementia with Lewy bodies and Parkinson disease dementia, from non-LBD patients, that is, Alzheimer disease and Parkinson disease. Methods: We performed quantitative EEG analysis for 16 LBD and 14 non-LBD patients. After artifact removal, a fast Fourier transform was performed on 90, 60, and thirty 2-second epochs to derive dominant frequency; dominant frequency variability; and dominant frequency prevalence. Results: In LBD patients, there were no significant differences in EEG features derived from 90, 60, and thirty 2-second epochs (all P>0.05). There were no significant differences in EEG features derived from 3 different groups of thirty 2-second epochs (all P>0.05). When analyzing EEG features derived from ninety 2-second epochs, we found that LBD had significantly reduced dominant frequency, reduced dominant frequency variability, and reduced dominant frequency prevalence alpha compared with the non-LBD group (all P<0.05). These same differences were observed between the LBD and non-LBD groups when analyzing thirty 2-second epochs. Conclusions: There were no differences in EEG features derived from 1 minute versus 3 minutes of EEG data, and both durations of EEG data equally differentiated LBD from non-LBD. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Alzheimer Disease & Associated Disorders Wolters Kluwer Health

One Minute of EEG Data Provides Sufficient and Reliable Data for Identifying Lewy Body Dementia

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Publisher
Wolters Kluwer Health
Copyright
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
ISSN
0893-0341
eISSN
1546-4156
DOI
10.1097/wad.0000000000000536
Publisher site
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Abstract

Objective: To determine the minimum duration of electroencephalography (EEG) data necessary to differentiate EEG features of Lewy body dementia (LBD), that is, dementia with Lewy bodies and Parkinson disease dementia, from non-LBD patients, that is, Alzheimer disease and Parkinson disease. Methods: We performed quantitative EEG analysis for 16 LBD and 14 non-LBD patients. After artifact removal, a fast Fourier transform was performed on 90, 60, and thirty 2-second epochs to derive dominant frequency; dominant frequency variability; and dominant frequency prevalence. Results: In LBD patients, there were no significant differences in EEG features derived from 90, 60, and thirty 2-second epochs (all P>0.05). There were no significant differences in EEG features derived from 3 different groups of thirty 2-second epochs (all P>0.05). When analyzing EEG features derived from ninety 2-second epochs, we found that LBD had significantly reduced dominant frequency, reduced dominant frequency variability, and reduced dominant frequency prevalence alpha compared with the non-LBD group (all P<0.05). These same differences were observed between the LBD and non-LBD groups when analyzing thirty 2-second epochs. Conclusions: There were no differences in EEG features derived from 1 minute versus 3 minutes of EEG data, and both durations of EEG data equally differentiated LBD from non-LBD.

Journal

Alzheimer Disease & Associated Disorders – Wolters Kluwer Health

Published: Jan 22, 2023

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