Cross-Scale Causality and Information Transfer in Simulated Epileptic Seizures

0542818 - ÚI 2022 RIV CH eng J - Článek v odborném periodiku
Gupta, Kajari - Paluš, Milan
Cross-Scale Causality and Information Transfer in Simulated Epileptic Seizures.
Entropy. Roč. 23, č. 5 (2021), č. článku 526. E-ISSN 1099-4300
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
Klíčová slova: multiscale dynamics * interactions * Granger causality * information transfer * epilepsy model
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 2.738, rok: 2021
Způsob publikování: Open access

An information-theoretic approach for detecting causality and information transfer was applied to phases and amplitudes of oscillatory components related to different time scales and obtained using the wavelet transform from a time series generated by the Epileptor model. Three main time scales and their causal interactions were identified in the simulated epileptic seizures, in agreement with the interactions of the model variables. An approach consisting of wavelet transform, conditional mutual information estimation, and surrogate data testing applied to a single time series generated by the model was demonstrated to be successful in the identification of all directional (causal) interactions between the three different time scales described in the model. Thus, the methodology was prepared for the identification of causal cross-frequency phase–phase and phase–amplitude interactions in experimental and clinical neural data.
Trvalý link: http://hdl.handle.net/11104/0320153