Differentiating resting brain states using ordinal symbolic analysis

Quintero-Quiroz, C. ; Montesano, L. (Universidad de Zaragoza) ; Pons, A.J. ; Torrent, M.C. ; García-Ojalvo, J. ; Masoller, C.

Resumen: Symbolic methods of analysis are valuable tools for investigating complex time-dependent signals. In particular, the ordinal method defines sequences of symbols according to the ordering in which values appear in a time series. This method has been shown to yield useful information, even when applied to signals with large noise contamination. Here, we use ordinal analysis to investigate the transition between eyes closed (EC) and eyes open (EO) resting states. We analyze two electroencephalography datasets (with 71 and 109 healthy subjects) with different recording conditions (sampling rates and the number of electrodes in the scalp). Using as diagnostic tools the permutation entropy, the entropy computed from symbolic transition probabilities, and an asymmetry coefficient (that measures the asymmetry of the likelihood of the transitions between symbols), we show that the ordinal analysis applied to the raw data distinguishes the two brain states. In both datasets, we find that, during the EC-EO transition, the EO state is characterized by higher entropies and lower asymmetry coefficient, as compared to the EC state. Our results thus show that these diagnostic tools have the potential for detecting and characterizing changes in time-evolving brain states.

Idioma: Inglés

DOI: 10.1063/1.5036959

Año: 2018

Publicado en: CHAOS 28, 10 (2018), 106307 [6 pp]
ISSN: 1054-1500

Factor impacto JCR: 2.643 (2018)

Categ. JCR: PHYSICS, MATHEMATICAL rank: 5 / 55 = 0.091 (2018) - Q1 - T1
Categ. JCR: MATHEMATICS, APPLIED rank: 19 / 254 = 0.075 (2018) - Q1 - T1

Factor impacto SCIMAGO: 0.99 - Applied Mathematics (Q1) - Mathematical Physics (Q1) - Statistical and Nonlinear Physics (Q1) - Physics and Astronomy (miscellaneous) (Q1) - Medicine (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2015-66503
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2015-66503-C3-2-P

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)