Cross-Scale Causality and Information Transfer in Simulated Epileptic Seizures

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F21%3A00542818" target="_blank" >RIV/67985807:_____/21:00542818 - isvavai.cz</a>

Result on the web

<a href="http://hdl.handle.net/11104/0320153" target="_blank" >http://hdl.handle.net/11104/0320153</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e23050526" target="_blank" >10.3390/e23050526</a>

Result language

angličtina

Original language name

Cross-Scale Causality and Information Transfer in Simulated Epileptic Seizures

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA19-16066S" target="_blank" >GA19-16066S: Nonlinear interactions and information transfer in complex systems with extreme events</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Entropy

ISSN

1099-4300

e-ISSN

1099-4300

Volume of the periodical

23

Issue of the periodical within the volume

5

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

526

UT code for WoS article

000653860800001

EID of the result in the Scopus database

2-s2.0-85109276206