Publication 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

journal article - other

Language

en

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

RIV year

2010

Released

15.10.2010

Publisher

Elsevier Inc

Location

USA

ISBN

1053-8119

Periodical

NeuroImage

Year of study

53

Number

1

State

US

Pages from

65

Pages to

77

Pages count

13

Documents

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",
  annote="Time-varying estimation of multivariate autoregresive model based on Kalman filtering for more accurate evaluation of Granger causality in fMRI data.",
  address="Elsevier Inc",
  chapter="48342",
  institution="Elsevier Inc",
  number="1",
  volume="53",
  year="2010",
  month="october",
  pages="65--77",
  publisher="Elsevier Inc",
  type="journal article - other"
}