title: [Brief causal relations in EEG based on adaptive Granger causality].
abstract: Commonly, coherence and correlation are used to describe interrelations between EEG signals. But, on this basis, the investigation of causality or direction of interrelations is not possible. The general idea of causality between two signals may be expressed in terms of upgrading the predictability of one signal bye the knowledge of the past of the other signal. The best established approach in this context is the so-called Granger causality. The study present an adaptive estimation of Granger causality, which allows to detect dynamic causal relations within time intervals of less 100 ms. The time-variant Granger causality is applied to EEG data of the Stroop task. It could be shown, that conflict situation generates a dense web of directed interactions from posterior to anterior cortical areas.
authors.affiliation: Institut für Medizinische Statistik, Informatik und Dokumentation, Friedrich Schiller Universität Jena, Deutschland. w.hesse@imsid.uni-jena.de
authors.forename: W
authors.initials: W
authors.lastname: Hesse
authors.forename: E
authors.initials: E
authors.lastname: Möller
authors.forename: M
authors.initials: M
authors.lastname: Arnold
authors.forename: H
authors.initials: H
authors.lastname: Witte
authors.forename: B
authors.initials: B
authors.lastname: Schack
mesh_terms: D000328:Adult; D001288:Attention / Q000502:physiology*; D015984:Causality; D002540:Cerebral Cortex / Q000502:physiology*; D003118:Color Perception / Q000502:physiology*; D003220:Conflict, Psychological; D004193:Discrimination Learning / Q000502:physiology; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D011930:Reaction Time / Q000502:physiology; D011932:Reading; D012660:Semantics