Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease

Joseph McBride; Xiaopeng Zhao; Nancy Munro; Gregory Jicha; Charles Smith; Yang Jiang

doi:10.1115/DSCC2014-5912

Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease

Joseph McBride, Xiaopeng Zhao, Nancy Munro, Gregory Jicha, Charles Smith, Yang Jiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	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
ISBN (Electronic)	9780791846193
DOIs	https://doi.org/10.1115/DSCC2014-5912
State	Published - 2014
Event	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States Duration: Oct 22 2014 → Oct 24 2014

Publication series

Name	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Volume	2

Conference

Conference	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Country/Territory	United States
City	San Antonio
Period	10/22/14 → 10/24/14

Bibliographical note

Publisher Copyright:
Copyright © 2014 by ASME.

ASJC Scopus subject areas

Control and Systems Engineering
Mechanical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1115/DSCC2014-5912

Cite this

McBride, J., Zhao, X., Munro, N., Jicha, G., Smith, C., & Jiang, Y. (2014). Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease. In 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 Article 5912 (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 2). https://doi.org/10.1115/DSCC2014-5912

McBride, Joseph ; Zhao, Xiaopeng ; Munro, Nancy et al. / Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease. 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. 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014).

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title = "Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease",

abstract = "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.",

author = "Joseph McBride and Xiaopeng Zhao and Nancy Munro and Gregory Jicha and Charles Smith and Yang Jiang",

note = "Publisher Copyright: Copyright {\textcopyright} 2014 by ASME.; ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

doi = "10.1115/DSCC2014-5912",

language = "English",

series = "ASME 2014 Dynamic Systems and Control Conference, DSCC 2014",

booktitle = "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",

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McBride, J, Zhao, X, Munro, N, Jicha, G, Smith, C & Jiang, Y 2014, Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease. in 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., 5912, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, vol. 2, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, San Antonio, United States, 10/22/14. https://doi.org/10.1115/DSCC2014-5912

Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease. / McBride, Joseph; Zhao, Xiaopeng; Munro, Nancy et al.
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. 2014. 5912 (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - McBride, Joseph

AU - Zhao, Xiaopeng

AU - Munro, Nancy

AU - Jicha, Gregory

AU - Smith, Charles

AU - Jiang, Yang

PY - 2014

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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.

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McBride J, Zhao X, Munro N, Jicha G, Smith C, Jiang Y. Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease. In 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. 2014. 5912. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014). doi: 10.1115/DSCC2014-5912

Resting state EEG multiscale entropy dynamics in mild cognitive impairment and early Alzheimer's disease

Abstract

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Bibliographical note

ASJC Scopus subject areas

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