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  • Analysis of dynamic relations in human brain has became an important task in neurophysiology in recent time. Unlike a coherence analysis used for revealing cooperating parts in the brain, causality measures make possible not only to evaluate the strength of relations but also a direction of their influence. Well-accepted Granger causality and other derived causality measures based on multivariate autoregressive models have been used to analyse directions of information flow in multichannel time series in econometrics and neurophysiology for a long time. Recently, a new method Phase Slope Index (PSI) based on completely different approach has been proposed. This paper compares conditional Granger causality with PSI, shows some important issues with PSI and proposes an idea how to interpret results of both methods used on the same data set.
  • Analysis of dynamic relations in human brain has became an important task in neurophysiology in recent time. Unlike a coherence analysis used for revealing cooperating parts in the brain, causality measures make possible not only to evaluate the strength of relations but also a direction of their influence. Well-accepted Granger causality and other derived causality measures based on multivariate autoregressive models have been used to analyse directions of information flow in multichannel time series in econometrics and neurophysiology for a long time. Recently, a new method Phase Slope Index (PSI) based on completely different approach has been proposed. This paper compares conditional Granger causality with PSI, shows some important issues with PSI and proposes an idea how to interpret results of both methods used on the same data set. (en)
Title
  • PERFORMANCE STUDY OF CAUSALITY MEASURES
  • PERFORMANCE STUDY OF CAUSALITY MEASURES (en)
skos:prefLabel
  • PERFORMANCE STUDY OF CAUSALITY MEASURES
  • PERFORMANCE STUDY OF CAUSALITY MEASURES (en)
skos:notation
  • RIV/68407700:21230/10:00170862!RIV11-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/08/H008), S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 278500
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00170862
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Conditional Granger causality; Phase slope index; multivariate autoregressive models; EEG (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [97202A4B245E]
http://linked.open...v/mistoKonaniAkce
  • Bratislava
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Technical Computing Bratislava 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sovka, Pavel
  • Bořil, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • RT systems, s.r.o
https://schema.org/isbn
  • 978-80-970519-0-7
http://localhost/t...ganizacniJednotka
  • 21230
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