A prospective multicenter validation study of a machine learning algorithm classifier on quantitative electroencephalogram for differentiating between dementia with Lewy bodies and Alzheimer's dementia
An early and accurate diagnosis of Dementia with Lewy bodies (DLB) is critical because treatments and prognosis of DLB are different from Alzheimer's disease (AD). This study was carried out in Japan to validate an Electroencephalography (EEG)-derived machine learning algorithm for discriminati...
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Published in | PloS one Vol. 17; no. 3; p. e0265484 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
31.03.2022
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | An early and accurate diagnosis of Dementia with Lewy bodies (DLB) is critical because treatments and prognosis of DLB are different from Alzheimer's disease (AD). This study was carried out in Japan to validate an Electroencephalography (EEG)-derived machine learning algorithm for discriminating DLB from AD which developed based on a database of EEG records from two different European countries.
In a prospective multicenter study, patients with probable DLB or with probable AD were enrolled in a 1:1 ratio. A continuous EEG segment of 150 seconds was recorded, and the EEG data was processed using MC-004, the EEG-based machine learning algorithm, with all clinical information blinded except for age and gender.
Eighteen patients with probable DLB and 21 patients with probable AD were the included for the analysis. The performance of MC-004 differentiating probable DLB from probable AD was 72.2% (95% CI 46.5-90.3%) for sensitivity, 85.7% (63.7-97.0%) for specificity, and 79.5% (63.5-90.7%) for accuracy. When limiting to subjects taking ≤5 mg donepezil, the sensitivity was 83.3% (95% CI 51.6-97.9), the specificity 89.5% (66.9-98.7), and the accuracy 87.1% (70.2-96.4).
MC-004, the EEG-based machine learning algorithm, was able to discriminate between DLB and AD with fairly high accuracy. MC-004 is a promising biomarker for DLB, and has the potential to improve the detection of DLB in a diagnostic process. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: YS, MS,TA and EM report grants and personal fees from Mentis Cura (https://www.mentiscura.com) during the conduct of the study. KShig, KShin, YA, HK, TB and MH report grants from Mentis Cura, during the conduct of the study. KJ is an employee of Mentis Cura. All the authors have sufficiently participated in the work and take responsibility for the content and agree to transfer copyright to PLOS. We disclose potential conflicts of interest and describe their financial support. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Our manuscript contains no extractions from other copyrighted works. We confirm that this manuscript has not been accepted for publication elsewhere, is not being considered for publication elsewhere, and does not duplicate previously published material. I confirm that all the authors consent to publication of this manuscript. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0265484 |