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dc.contributor.author
Colominas, Marcelo Alejandro
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dc.contributor.author
Wens, Vincent
dc.contributor.author
Mary, Alison
dc.contributor.author
Coquelet, Nicolas
dc.contributor.author
El Sayed Hussein Jomaa, Mohamad
dc.contributor.author
Jrad, Nisrine
dc.contributor.author
Humeau-Heurtier, Anne
dc.contributor.author
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
dc.subject.classification
Ingeniería Médica
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dc.subject.classification
Ingeniería Médica
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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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
dc.type
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
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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
dc.description.fil
Fil: Wens, Vincent. Laboratoire de Cartographie Fonctionnelle Du Cerveau; Bélgica
dc.description.fil
Fil: Mary, Alison. Universite de Normandie; Francia
dc.description.fil
Fil: Coquelet, Nicolas. Laboratoire de Cartographie Fonctionnelle Du Cerveau; Bélgica
dc.description.fil
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
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