RT info:eu-repo/semantics/article
T1 Analysis of Spontaneous EEG Activity in Alzheimer’s Disease Using Cross-Sample Entropy and Graph Theory
A1 Gómez Peña, Carlos
A1 Poza Crespo, Jesús
A1 Gómez Pilar, Javier
A1 Bachiller Matarranz, Alejandro
A1 Juan Cruz, Celia
A1 Tola Arribas, Miguel Ángel
A1 Carreres Rodríguez, Alicia
A1 Cano, Mónica
A1 Hornero Sánchez, Roberto
K1 Entropy
AB The aim of this pilot study was to analyzespontaneous electroencephalography (EEG) activity inAlzheimer’s disease (AD) by means of Cross-Sample Entropy(Cross-SampEn) and two local measures derived from graphtheory: clustering coefficient (CC) and characteristic pathlength (PL). Five minutes of EEG activity were recorded from37 patients with dementia due to AD and 29 elderly controls.Our results showed that Cross-SampEn values were lower inthe AD group than in the control one for all the interactionsamong EEG channels. This finding indicates that EEG activityin AD is characterized by a lower statistical dissimilarityamong channels. Significant differences were found mainly forfronto-central interactions (p < 0.01, permutation test).Additionally, the application of graph theory measuresrevealed diverse neural network changes, i.e. lower CC andhigher PL values in AD group, leading to a less efficient brainorganization. This study suggests the usefulness of ourapproach to provide further insights into the underlying braindynamics associated with AD.
PB IEEE Conference Publications
SN 1557-170X
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/21722
UL http://uvadoc.uva.es/handle/10324/21722
LA eng
NO Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2016, p. 2830 - 2833
NO Producción Científica
DS UVaDOC
RD 25-abr-2024