Detail publikace

Comparison of analytic methods for evaluation of functional and effective brain connectivity from fMRI data

Originální název

Comparison of analytic methods for evaluation of functional and effective brain connectivity from fMRI data

Anglický název

Comparison of analytic methods for evaluation of functional and effective brain connectivity from fMRI data

Jazyk

en

Originální abstrakt

The aim of this paper is to describe and mutually compare the commonly used methods for evaluating functional brain connectivity, i.e. correlation analysis, principal component analysis and independent component analysis, and for effective brain connectivity, i.e. psycho-physiological interaction and dynamic causal modelling. For this purpose, all approaches are performed on the same data set, and the mutual relationships among these methods are pointed to.

Anglický abstrakt

The aim of this paper is to describe and mutually compare the commonly used methods for evaluating functional brain connectivity, i.e. correlation analysis, principal component analysis and independent component analysis, and for effective brain connectivity, i.e. psycho-physiological interaction and dynamic causal modelling. For this purpose, all approaches are performed on the same data set, and the mutual relationships among these methods are pointed to.

BibTex


@article{BUT47666,
  author="Martin {Havlíček} and Jiří {Jan} and Michal {Mikl} and Milan {Brázdil}",
  title="Comparison of analytic methods for evaluation of functional and effective brain connectivity from fMRI data",
  annote="The aim of this paper is to describe and mutually compare the commonly used methods for
evaluating functional brain connectivity, i.e. correlation analysis, principal component
analysis and independent component analysis, and for effective brain connectivity, i.e.
psycho-physiological interaction and dynamic causal modelling. For this purpose, all
approaches are performed on the same data set, and the mutual relationships among these
methods are pointed to.",
  address="Vutium press",
  chapter="47666",
  institution="Vutium press",
  journal="Analysis of Biomedical Signals and Images",
  number="1",
  volume="2008",
  year="2008",
  month="june",
  pages="38--47",
  publisher="Vutium press",
  type="journal article - other"
}