fiar: an r package for analyzing functional integration in the brain
Clicks: 327
ID: 173141
2011
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
327 views
51 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #6 of 98 articles by views in open geospatial data, software and standards
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
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.
| Reference Key |
rosseel2011journalfiar:
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Yves Rosseel;Bjorn Roelstraete |
| Journal | open geospatial data, software and standards |
| Year | 2011 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.