Moran,
functional connectivity is a very complex problem that peopke tried to tackle by various exploratory (Bayesian Nets, Sparse Inverse covariance, etc) and confirmatory methods (SEM, etc).
What I recommend is that you first conduct a review on the existing works in this field and see which one is the best for the question you have.
For an extensive review, please read
(and the references if necessary)
It will show you what the problems are when using simple correlation measures between pairs of nodes, and many other issues.
Cheers
On Thu, Sep 16, 2010 at 10:46 AM, Moran Artzi
<[log in to unmask]> wrote:
Hi
I want to study functional connectivity on rest data.
After extracting Time course from chsen VOI, is it correct to use:
Feat > 1 entry per volume > myTimecours.txt (convolution = none; temporal derivative and temporal filtering = off)?
In addition, how can I quantify the obtained results?
Can I get the correlation value between the seed mask and the obtained results (score for each significant voxels)?
Many thanks
Moran
--
Reza Salimi-Khorshidi,
DPhil Candidate, FMRIB Centre of the University of Oxford (Linacre College)
Associate Member, Oxford-Man Institute for Quantitative Finance, University of Oxford
Email:
[log in to unmask]; Tel: +44 (0) 1865 222704; Fax: +44 (0)1865 222717
Address: FMRIB Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK
