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dc.date.accessioned 2024-06-14T16:40:33Z
dc.date.available 2024-06-14T16:40:33Z
dc.date.issued 2024
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/167283
dc.description.abstract Taking into account the complexity of the human brain dynamics, the appropriate characterization of any brain state is a challenge not easily met. Actually, even the discrimination of simple behavioral tasks, such as resting with eyes closed or eyes open, represents an intricate problem and many efforts have been and are being made to overcome it. In this work, the aforementioned issue is carefully addressed by performing multiscale analyses of electroencephalogram records with the permutation Jensen–Shannon distance. The influence that linear and nonlinear temporal correlations have on the discrimination is unveiled. Results obtained lead to significant conclusions that help to achieve an improved distinction between these resting brain states. en
dc.language en es
dc.subject time series es
dc.subject symbolic analysis es
dc.subject ordinal patterns es
dc.subject permutation entropy es
dc.subject Jensen–Shannon divergence es
dc.subject permutation Jensen–Shannon distance es
dc.subject EEG records es
dc.subject resting brain states es
dc.subject multiscale analysis es
dc.subject linear and nonlinear temporal correlations es
dc.title Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance en
dc.type Articulo es
sedici.identifier.other https://doi.org/10.3390/e26050432 es
sedici.identifier.issn 1099-4300 es
sedici.creator.person Zunino, Luciano José es
sedici.subject.materias Física es
sedici.description.fulltext true es
mods.originInfo.place Centro de Investigaciones Ópticas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Entropy es
sedici.relation.journalVolumeAndIssue vol. 26, no. 5 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)