RT info:eu-repo/semantics/article
T1 EEG characterization of the Alzheimer’s disease continuum by means of multiscale entropies
A1 Maturana Candelas, Aarón
A1 Gómez Peña, Carlos
A1 Poza Crespo, Jesús
A1 Pinto, Nádia
A1 Hornero Sánchez, Roberto
K1 Electroencephalography
K1 Electroencefalografía
K1 Alzheimer’s disease
K1 Alzheimer, Enfermedad de
AB Alzheimer’s disease (AD) is a neurodegenerative disorder with high prevalence, known for its highly disabling symptoms. The aim of this study was to characterize the alterations in the irregularity and the complexity of the brain activity along the AD continuum. Both irregularity and complexity can be studied applying entropy-based measures throughout multiple temporal scales. In this regard, multiscale sample entropy (MSE) and refined multiscale spectral entropy (rMSSE) were calculated from electroencephalographic (EEG) data. Five minutes of resting-state EEG activity were recorded from 51 healthy controls, 51 mild cognitive impaired (MCI) subjects, 51 mild AD patients (ADMIL), 50 moderate AD patients (ADMOD), and 50 severe AD patients (ADSEV). Our results show statistically significant differences (p-values < 0.05, FDR-corrected Kruskal–Wallis test) between the five groups at each temporal scale. Additionally, average slope values and areas under MSE and rMSSE curves revealed significant changes in complexity mainly for controls vs. MCI, MCI vs. ADMIL and ADMOD vs. ADSEV comparisons (p-values < 0.05, FDR-corrected Mann–Whitney U-test). These findings indicate that MSE and rMSSE reflect the neuronal disturbances associated with the development of dementia, and may contribute to the development of new tools to track the AD progression.
PB MDPI
SN 1099-4300
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/55986
UL https://uvadoc.uva.es/handle/10324/55986
LA eng
NO Entropy, 2019, vol. 21, n. 6, 544
NO Producción Científica
DS UVaDOC
RD 07-ago-2024