Publication result detail

Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

HAVLÍČEK, M.; JAN, J.; BRÁZDIL, M.; CALHOUN, V.

Original Title

Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

English Title

Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

Time-varying estimation of multivariate autoregresive model based on Kalman filtering for more accurate evaluation of Granger causality in fMRI data.

English abstract

Time-varying estimation of multivariate autoregresive model based on Kalman filtering for more accurate evaluation of Granger causality in fMRI data.

Keywords

Granger causality, Kalman filtering, nonstationary

Key words in English

Granger causality, Kalman filtering, nonstationary

Authors

HAVLÍČEK, M.; JAN, J.; BRÁZDIL, M.; CALHOUN, V.

RIV year

2011

Released

15.10.2010

Publisher

Elsevier Inc

Location

USA

ISBN

1053-8119

Periodical

NEUROIMAGE

Volume

53

Number

1

State

United States of America

Pages from

65

Pages to

77

Pages count

13

BibTex

@article{BUT48342,
  author="Martin {Havlíček} and Jiří {Jan} and Milan {Brázdil} and V.D. {Calhoun}",
  title="Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data",
  journal="NEUROIMAGE",
  year="2010",
  volume="53",
  number="1",
  pages="65--77",
  issn="1053-8119"
}