Number of the records: 1
Cross-Scale Causality and Information Transfer in Simulated Epileptic Seizures
- 1.0542818 - ÚI 2022 RIV CH eng J - Journal Article
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
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : multiscale dynamics * interactions * Granger causality * information transfer * epilepsy model
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.738, year: 2021
Method of publishing: 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.
Permanent Link: http://hdl.handle.net/11104/0320153
File Download Size Commentary Version Access 0542818-aoa.pdf 7 913.8 KB OA CC BY 4.0 Publisher’s postprint open-access
Number of the records: 1