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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/embc.2016.7591319

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Analysis of Spontaneous EEG Activity in Alzheimer’s Disease Using Cross-Sample Entropy and Graph Theory

Journal article published in 2016 by Carlos Gómez, Jesús Poza Crespo ORCID, Javier Gómez Pilar, Alejandro Bachiller, Celia Juan Cruz, Miguel A. Tola Arribas ORCID, Alicia Carreres, Mónica Cano, Roberto Hornero Sánchez
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Producción Científica ; The aim of this pilot study was to analyze spontaneous electroencephalography (EEG) activity in Alzheimer’s disease (AD) by means of Cross-Sample Entropy (Cross-SampEn) and two local measures derived from graph theory: clustering coefficient (CC) and characteristic path length (PL). Five minutes of EEG activity were recorded from 37 patients with dementia due to AD and 29 elderly controls. Our results showed that Cross-SampEn values were lower in the AD group than in the control one for all the interactions among EEG channels. This finding indicates that EEG activity in AD is characterized by a lower statistical dissimilarity among channels. Significant differences were found mainly for fronto-central interactions (p