TY - GEN
T1 - Resting state 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:
Copyright © 2014 by ASME.
PY - 2014
Y1 - 2014
N2 - Mild cognitive impairment (MCI) is a neurological condition related to early stages of dementia such as Alzheimer's disease (AD). This study explores non-eventrelated multiscale entropy (MSE) measures as features for effectively discriminating between normal aging, MCI, and AD participants. Resting EEG records from 48 age-matched participants (mean age 75.7 years)-15 normal controls (NC), 16 MCI, and 17 early AD-are examined. Multiscale entropy curves are computed for short EEG segments and averaged over the segments. Binary discriminations among the three groups are conducted using support vector machine models. Leave-one-out cross-validation accuracies of 80.7% (p-value <0.0018) for MCI vs. NC, 87.5% (p-value <1.322E-4) for AD vs. NC, and 90.9% (p-value <2.788E-5) for MCI vs. AD are achieved. Results demonstrate influence of cognitive deficits on multiscale entropy dynamics of non-event-related EEG.
AB - Mild cognitive impairment (MCI) is a neurological condition related to early stages of dementia such as Alzheimer's disease (AD). This study explores non-eventrelated multiscale entropy (MSE) measures as features for effectively discriminating between normal aging, MCI, and AD participants. Resting EEG records from 48 age-matched participants (mean age 75.7 years)-15 normal controls (NC), 16 MCI, and 17 early AD-are examined. Multiscale entropy curves are computed for short EEG segments and averaged over the segments. Binary discriminations among the three groups are conducted using support vector machine models. Leave-one-out cross-validation accuracies of 80.7% (p-value <0.0018) for MCI vs. NC, 87.5% (p-value <1.322E-4) for AD vs. NC, and 90.9% (p-value <2.788E-5) for MCI vs. AD are achieved. Results demonstrate influence of cognitive deficits on multiscale entropy dynamics of non-event-related EEG.
UR - http://www.scopus.com/inward/record.url?scp=84929258948&partnerID=8YFLogxK
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U2 - 10.1115/DSCC2014-5912
DO - 10.1115/DSCC2014-5912
M3 - Conference contribution
AN - SCOPUS:84929258948
T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
BT - Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing
T2 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Y2 - 22 October 2014 through 24 October 2014
ER -