TY - GEN
T1 - EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease
AU - McBride, Joseph
AU - Zhao, Xiaopeng
AU - Munro, Nancy
AU - Jicha, Gregory
AU - Smith, Charles
AU - Jiang, Yang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - Mild cognitive impairment (MCI) is a neurological condition that is ofte. The early stage of Alzheimer's disease (AD). This pilot study explores event-related multiscale entropy (MSE) measures as features for effectively discriminating between normal aging, MCI, and AD participants. Thirty two-channel scalp EEG records recorded during a working memory task from 43 age-matched participants (mean age 75.7 years)-17 normal controls (NC), 16 MCI, and 10 early ADare examined. Multiscale entropy curves are computed for responses durin. The working memory task. Support vector machine models are constructed to perform binary discriminations amon. The three groups. Leave-one-out cross-validation accuracies of 87.9% (p-value <1.322E-4) for MCI vs. NC, 88.9% (p-value <2.886E-5) for AD vs. NC, and 92.3% (p-value <4.910E-6) for MCI vs. AD are achieved. Results demonstrate links between event-related multiscale entropy dynamics of EEG and short-term memory deficits.
AB - Mild cognitive impairment (MCI) is a neurological condition that is ofte. The early stage of Alzheimer's disease (AD). This pilot study explores event-related multiscale entropy (MSE) measures as features for effectively discriminating between normal aging, MCI, and AD participants. Thirty two-channel scalp EEG records recorded during a working memory task from 43 age-matched participants (mean age 75.7 years)-17 normal controls (NC), 16 MCI, and 10 early ADare examined. Multiscale entropy curves are computed for responses durin. The working memory task. Support vector machine models are constructed to perform binary discriminations amon. The three groups. Leave-one-out cross-validation accuracies of 87.9% (p-value <1.322E-4) for MCI vs. NC, 88.9% (p-value <2.886E-5) for AD vs. NC, and 92.3% (p-value <4.910E-6) for MCI vs. AD are achieved. Results demonstrate links between event-related multiscale entropy dynamics of EEG and short-term memory deficits.
KW - Alzheimer's disease
KW - EEG
KW - mild cognitive impairment
KW - multiscale entropy
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U2 - 10.1109/BSEC.2014.6867738
DO - 10.1109/BSEC.2014.6867738
M3 - Conference contribution
AN - SCOPUS:84934779991
T3 - Proceedings of the 2014 Biomedical Sciences and Engineering Conference - 5th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations - The Multi-Scale Brain: Spanning Molecular, Cellular, Systems, Cognitive, Behavioral, and Clinical Neuroscience, BSEC 2014
BT - Proceedings of the 2014 Biomedical Sciences and Engineering Conference - 5th Annual ORNL Biomedical Sciences and Engineering Conference
T2 - 5th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, BSEC 2014
Y2 - 6 May 2014 through 8 May 2014
ER -