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Artículo

Multichannel Time-Frequency Complexity Measures for the Analysis of Age-Related Changes in Neuromagnetic Resting-State Activity

Colominas, Marcelo AlejandroIcon ; Wens, Vincent; Mary, Alison; Coquelet, Nicolas; El Sayed Hussein Jomaa, Mohamad; Jrad, Nisrine; Humeau-Heurtier, Anne; Van Bogaert, Patrick
Fecha de publicación: 01/2019
Editorial: Instituto de Ingeniería Eléctrica y Electrónica
Revista: IEEE Journal of Biomedical and Health Informatics
ISSN: 2168-2194
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ingeniería Médica

Resumen

We propose new multichannel time-frequency complexity measures to evaluate differences on magnetoencephalograpy (MEG) recordings between healthy young and old subjects at rest at different spatial scales. After reviewing the Renyi and singular value decomposition entropies based on time-frequency representations, we introduce multichannel generalizations, using multilinear singular value decomposition for one of them. We test these quantities on synthetic data, illustrating how the introduced complexity measures focus on number of components, nonstationarity and similarity across channels. Friedman tests are used to confirm the differences between young and old groups, and heterogeneity within groups. Experimental results show a consistent increase in complexity measures for the old group. When analyzing the topographical distribution of complexity values, we found clusters in the frontal sensors. The complexity measures here introduced seem to be a better indicator of the neurophysiologic changes of aging than power envelope connectivity. Here we applied new multichannel time-frequency complexity measures to resting-state MEG recordings from healthy young and old subjects. We showed that these features are able to reveal regional clusters. The multichannel time-frequency complexities can be used to monitor the aging of subjects. They also allow a mutual information approach, and could be applied to a wider range of problems.
Palabras clave: ENTROPY , TIME-FREQUENCY ANALYSIS , COMPLEXITY THEORY , BIOMEDICAL MEASUREMENT
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/106788
URL: https://ieeexplore.ieee.org/document/8611110/
DOI: http://dx.doi.org/10.1109/JBHI.2019.2892823
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Articulos de INSTITUTO DE INVESTIGACION Y DESARROLLO EN BIOINGENIERIA Y BIOINFORMATICA
Citación
Colominas, Marcelo Alejandro; Wens, Vincent; Mary, Alison; Coquelet, Nicolas; El Sayed Hussein Jomaa, Mohamad; et al.; Multichannel Time-Frequency Complexity Measures for the Analysis of Age-Related Changes in Neuromagnetic Resting-State Activity; Instituto de Ingeniería Eléctrica y Electrónica; IEEE Journal of Biomedical and Health Informatics; 23; 6; 1-2019; 2428-2434
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