Multivariate Analysis of Dynamical Processes with Applications to the Neurosciences

Bjoern Schelter, Linda Sommerlade, Bettina Platt, Andrea Plano, Marco Thiel, Jens Timmer

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

6 Citations (Scopus)

Abstract

Nowadays, data are recorded with increasing spatial and temporal resolution. Commonly these data are analyzed using univariate or bivariate approaches. Most of the analysis techniques assume stationarity of the underlying dynamical processes. Here, we present an approach that is capable of analyzing multivariate data, the so-called renormalized partial directed coherence. It utilizes the concept of Granger causality and is applicable to non-stationary data. We discuss its abilities and limitations, and demonstrate its usefulness in an application to murine electroencephalography (EEG) data during sleep transitions.

Original languageEnglish
Title of host publication2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of PublicationNew York
PublisherIEEE Press
Pages5931-5934
Number of pages4
ISBN (Print)978-1-4244-4122-8
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) - Boston
Duration: 30 Aug 20113 Sept 2011

Conference

Conference33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)
CityBoston
Period30/08/113/09/11

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