ArticleEntropy (Basel, Switzerland)2024
Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen-Shannon Distance.
Article in Entropy (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Permutation-Based Distances for Groups and Group-Valued Time Series.Entropy (Basel, Switzerland) · 2025Article
- Including the Magnitude Variability of a Signal in the Ordinal Pattern Analysis.Entropy (Basel, Switzerland) · 2025Article
- Quantifying Deviations from Gaussianity with Application to Flight Delay Distributions.Entropy (Basel, Switzerland) · 2025Article
- Identifying Ordinal Similarities at Different Temporal Scales.Entropy (Basel, Switzerland) · 2024Article
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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.
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