One Minute of EEG Data Provides Sufficient and Reliable Data for Identifying Lewy Body Dementia
Alzheimer disease and associated disorders(2023)
摘要
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.
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关键词
Lewy body dementia,dementia with Lewy bodies,Parkinson disease dementia,electroencephalography,biomarker
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