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Conference papers
Contribution in analyzing directional propagation flow in EEG recordings investigating entropic methods and realistic physiological models
Abstract : Our objective is to analyze EEG signals recorded with depth electrodes during seizures in patients with drug-resistant epilepsy. Usually, different phases are observed during the seizure process, including a fast onset activity (FOA). We aim to determine how cerebral structures get involved during this FOA, in particular whether some structures can "drive" some other structures. We compare a transfer entropy based measure with a measure related to linear Granger causality index to detect causal interdependences in multivariate signals generated either by a linear autoregressive model or by a physiology-based model of coupled neuronal populations. Experimental simulation results support the relevance of the new measure for characterizing the information flow for direct and indirect relations.
Cited literature [9 references]
https://www.hal.inserm.fr/inserm-00770251
Contributor : Lotfi Senhadji <>
Submitted on : Friday, January 4, 2013 - 6:22:05 PM
Last modification on : Friday, July 5, 2019 - 10:16:02 AM
Long-term archiving on: : Friday, April 5, 2013 - 5:59:12 AM
Contributor : Lotfi Senhadji <>
Submitted on : Friday, January 4, 2013 - 6:22:05 PM
Last modification on : Friday, July 5, 2019 - 10:16:02 AM
Long-term archiving on: : Friday, April 5, 2013 - 5:59:12 AM
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BMEI-1704.pdf
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