| Literature DB >> 25548267 |
Klaus Lehnertz1, Henning Dickten2.
Abstract
Inferring strength and direction of interactions from electroencephalographic (EEG) recordings is of crucial importance to improve our understanding of dynamical interdependencies underlying various physiological and pathophysiological conditions in the human epileptic brain. We here use approaches from symbolic analysis to investigate--in a time-resolved manner--weighted and directed, short- to long-ranged interactions between various brain regions constituting the epileptic network. Our observations point to complex spatial-temporal interdependencies underlying the epileptic process and their role in the generation of epileptic seizures, despite the massive reduction of the complex information content of multi-day, multi-channel EEG recordings through symbolization. We discuss limitations and potential future improvements of this approach.Entities:
Keywords: EEG; epilepsy; epileptic network; symbolic transfer entropy
Year: 2015 PMID: 25548267 PMCID: PMC4281866 DOI: 10.1098/rsta.2014.0094
Source DB: PubMed Journal: Philos Trans A Math Phys Eng Sci ISSN: 1364-503X Impact factor: 4.226