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HAVLÍČEK, M. JAN, J. MIKL, M. BRÁZDIL, M.
Original Title
Comparison of analytic methods for evaluation of functional and effective brain connectivity from fMRI data
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
functional, effective, connectivity, dynamic causal modelling, DCM, independent component analysis, ICA, principal componenet analysis, PCA, correlation analysis, fMRI
Authors
HAVLÍČEK, M.; JAN, J.; MIKL, M.; BRÁZDIL, M.
RIV year
2008
Released
30. 6. 2008
Publisher
Vutium press
Location
Brno
ISBN
1211-412X
Periodical
Analysis of Biomedical Signals and Images
Year of study
Number
1
State
Czech Republic
Pages from
38
Pages to
47
Pages count
10
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", journal="Analysis of Biomedical Signals and Images", year="2008", volume="2008", number="1", pages="38--47", issn="1211-412X" }