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FIAR: an R package for analyzing functional integration in the brain

Bjorn Roelstraete UGent and Yves Rosseel UGent (2011) JOURNAL OF STATISTICAL SOFTWARE. 44(13). p.1-32
abstract
Functional integration in the brain refers to distributed interactions among functionally segregated regions. Investigation of effective connectivity in brain networks, i.e, the directed causal influence that one brain region exerts over another region, is being increasingly recognized as an important tool for understanding brain function in neuroimaging studies. Methods for identifying intrinsic relationships among elements in a network are increasingly in demand. Over the last few decades several techniques such as Bayesian networks, Granger causality, and dynamic causal models have been developed to identify causal relations in dynamic systems. At the same time, established techniques such as structural equation modeling (SEM) are being modified and extended in order to reveal underlying interactions in imaging data. In the R package FIAR, which stands for Functional Integration Analysis in R, we have implemented many of the latest techniques for analyzing brain networks based on functional magnetic resonance imaging (fMRI) data. The package can be used to analyze experimental data, but also to simulate data under certain models.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
functional magnetic resonance imaging, Granger causality, VARIABILITY, MODEL, CONNECTIVITY, FMRI, TIME-SERIES, GRANGER CAUSALITY, BOLD HEMODYNAMIC-RESPONSES, dynamic causal modeling, functional integration, structural equation modeling
journal title
JOURNAL OF STATISTICAL SOFTWARE
J. Stat. Softw.
volume
44
issue
13
pages
1 - 32
Web of Science type
Article
Web of Science id
000296719700001
JCR category
STATISTICS & PROBABILITY
JCR impact factor
4.01 (2011)
JCR rank
1/116 (2011)
JCR quartile
1 (2011)
ISSN
1548-7660
project
The integrative neuroscience of behavioral control (Neuroscience)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2129302
handle
http://hdl.handle.net/1854/LU-2129302
date created
2012-06-01 15:25:23
date last changed
2015-06-17 10:04:15
@article{2129302,
  abstract     = {Functional integration in the brain refers to distributed interactions among functionally segregated regions. Investigation of effective connectivity in brain networks, i.e, the directed causal influence that one brain region exerts over another region, is being increasingly recognized as an important tool for understanding brain function in neuroimaging studies. Methods for identifying intrinsic relationships among elements in a network are increasingly in demand. Over the last few decades several techniques such as Bayesian networks, Granger causality, and dynamic causal models have been developed to identify causal relations in dynamic systems. At the same time, established techniques such as structural equation modeling (SEM) are being modified and extended in order to reveal underlying interactions in imaging data. In the R package FIAR, which stands for Functional Integration Analysis in R, we have implemented many of the latest techniques for analyzing brain networks based on functional magnetic resonance imaging (fMRI) data. The package can be used to analyze experimental data, but also to simulate data under certain models.},
  author       = {Roelstraete, Bjorn and Rosseel, Yves},
  issn         = {1548-7660},
  journal      = {JOURNAL OF STATISTICAL SOFTWARE},
  keyword      = {functional magnetic resonance imaging,Granger causality,VARIABILITY,MODEL,CONNECTIVITY,FMRI,TIME-SERIES,GRANGER CAUSALITY,BOLD HEMODYNAMIC-RESPONSES,dynamic causal modeling,functional integration,structural equation modeling},
  language     = {eng},
  number       = {13},
  pages        = {1--32},
  title        = {FIAR: an R package for analyzing functional integration in the brain},
  volume       = {44},
  year         = {2011},
}

Chicago
Roelstraete, Bjorn, and Yves Rosseel. 2011. “FIAR: An R Package for Analyzing Functional Integration in the Brain.” Journal of Statistical Software 44 (13): 1–32.
APA
Roelstraete, B., & Rosseel, Y. (2011). FIAR: an R package for analyzing functional integration in the brain. JOURNAL OF STATISTICAL SOFTWARE, 44(13), 1–32.
Vancouver
1.
Roelstraete B, Rosseel Y. FIAR: an R package for analyzing functional integration in the brain. JOURNAL OF STATISTICAL SOFTWARE. 2011;44(13):1–32.
MLA
Roelstraete, Bjorn, and Yves Rosseel. “FIAR: An R Package for Analyzing Functional Integration in the Brain.” JOURNAL OF STATISTICAL SOFTWARE 44.13 (2011): 1–32. Print.