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dc.contributor.author
Colominas, Marcelo Alejandro  
dc.contributor.author
Wens, Vincent  
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Mary, Alison  
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Coquelet, Nicolas  
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El Sayed Hussein Jomaa, Mohamad  
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Jrad, Nisrine  
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Humeau-Heurtier, Anne  
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Van Bogaert, Patrick  
dc.date.available
2020-06-05T20:12:48Z  
dc.date.issued
2019-01  
dc.identifier.citation
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  
dc.identifier.issn
2168-2194  
dc.identifier.uri
http://hdl.handle.net/11336/106788  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Instituto de Ingeniería Eléctrica y Electrónica  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ENTROPY  
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TIME-FREQUENCY ANALYSIS  
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COMPLEXITY THEORY  
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BIOMEDICAL MEASUREMENT  
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Ingeniería Médica  
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Ingeniería Médica  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Multichannel Time-Frequency Complexity Measures for the Analysis of Age-Related Changes in Neuromagnetic Resting-State Activity  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-06-01T13:40:53Z  
dc.journal.volume
23  
dc.journal.number
6  
dc.journal.pagination
2428-2434  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Piscataway  
dc.description.fil
Fil: Colominas, Marcelo Alejandro. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina  
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Fil: Wens, Vincent. Laboratoire de Cartographie Fonctionnelle Du Cerveau; Bélgica  
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Fil: Mary, Alison. Universite de Normandie; Francia  
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Fil: Coquelet, Nicolas. Laboratoire de Cartographie Fonctionnelle Du Cerveau; Bélgica  
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Fil: El Sayed Hussein Jomaa, Mohamad. Laboratoire Angevin de Recherche En Ingénierie Des Syst; Francia  
dc.description.fil
Fil: Jrad, Nisrine. Laboratoire Angevin de Recherche En Ingénierie Des Syst; Francia  
dc.description.fil
Fil: Humeau-Heurtier, Anne. Laboratoire Angevin de Recherche En Ingénierie Des Syst; Francia  
dc.description.fil
Fil: Van Bogaert, Patrick. Centre Hospitalier Universitaire Angers; Francia  
dc.journal.title
IEEE Journal of Biomedical and Health Informatics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/8611110/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JBHI.2019.2892823