Abstract
The aim of this study was to analyze electroencephalographic (EEG) background activity in Alzheimer’s disease (AD) and mild cognitive impairment (MCI) by means of multiscale spectral entropy (MSSE). To achieve this goal, five minutes of EEG activity were acquired from 18 cognitive healthy controls, 10 MCI subjects and 32 AD patients. Our results showed statistically significant differences (p-values < 0.05, Kruskal-Wallis test) in MSSE values for all scale factors. Additionally, a 3D receiver operating characteristic (ROC) curve was used to assess the discrimination ability of MSSE among the 3 groups, showing a good three-way discrimination power (volume under the surface of 0.6). These results suggest that MSSE can be a useful measure to characterize neural alterations in AD, even at early stages.
This research was supported by ‘European Commission’ and ‘European Regional Development Fund’ (FEDER) under project ‘Análisis y correlación entre el genoma completo y la actividad cerebral para la ayuda en el diagnóstico de la enfermedad de Alzheimer’ (‘Cooperation Programme Interreg V-A Spain-Portugal, POCTEP 2014–2020’), by ‘Ministerio de Economía y Competitividad’ and FEDER under project TEC2014-53196-R, and by ‘Consejería de Educación de la Junta de Castilla y León’ and FEDER under project VA037U16. S. J. Ruiz-Gomez and P. Núñez have a predoctoral scholarship from the ‘Junta de Castilla y Leon’ and the European Social Fund.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hebert, L.E., et al.: Alzheimer disease in the US population: prevalence estimates using the 2000 census. Arch. Neurol. 60(8), 1119–1122 (2003)
Babiloni, C., et al.: Brain neural synchronization and functional coupling in Alzheimer’s disease as revealed by resting state EEG rhythms. Int. J. Psychophysiol. 103, 88–102 (2016)
Petersen, R.C.: Mild cognitive impairment as a diagnostic entity. J. Intern. Med. 256(3), 183–194 (2004)
Humeau-Heurtier, A., et al.: Refined multiscale Hilbert’Huang spectral entropy and its application to central and peripheral cardiovascular data. IEEE Trans. Biomed. Eng. 63(11), 2405–2415 (2016)
Escudero, J., et al.: Analysis of electroencephalograms in Alzheimer’s disease patients with multiscale entropy. Physiol. Meas. 27(11), 1091–1106 (2006)
Poza, J., et al.: Extraction of spectral based measures from MEG background oscillations in Alzheimer’s disease. Med. Eng. Phys. 29, 1073–1083 (2007)
Abásolo, D., et al.: Entropy analysis of the EEG background activity in Alzheimer’s disease patients. Physiol. Meas. 27(3), 241–253 (2006)
Poza, J., et al.: Analysis of neural dynamics in mild cognitive impairment and Alzheimer’s disease using the wavelet turbulence. J. Neur. Eng. 11(2), 026010 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Maturana-Candelas, A. et al. (2019). Analysis of Spontaneous EEG Activity in Alzheimer’s Disease Patients by Means of Multiscale Spectral Entropy. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_116
Download citation
DOI: https://doi.org/10.1007/978-3-030-01845-0_116
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01844-3
Online ISBN: 978-3-030-01845-0
eBook Packages: EngineeringEngineering (R0)