On Wed, Mar 21, 2012 at 4:32 PM, soha saleh <[log in to unmask]> wrote:

Hi:

I believe CONN toolbox is useful for that (http://web.mit.edu/swg/software.htm) . Please update me if anybody has any comments on that or has used it with resting state data.

Best,

Soha

Date: Wed, 21 Mar 2012 17:09:52 -0300
From: [log in to unmask]
Subject: Re: [SPM] connectivity
To: [log in to unmask]

Hi,

check this out : https://sites.google.com/site/functionalconnectivitytoolbox/home

I'm not sure where the inputs have to be the time courses of the ROIs or it has tools to extract the time courses given coordinates or a mask (I've never used it). If not, you will have to open your functional images together with a co-registered atlas (e.g. AAL) and extract the time course from each region (usually taken as the average of the time courses belonging to the region).

Once you're done with that you might also want the Brain Connectivity Toolbox, which takes the F.C. matrices you generated as input. This is the link: https://sites.google.com/site/functionalconnectivitytoolbox/the-brain-connectivity-toolbox

Bw,

Enzo

On Wed, Mar 21, 2012 at 4:46 PM, Hekmatyar <[log in to unmask]> wrote:

Hello SPMers
Is there any program or gui to make correlation matrix for different regions (ROIs) of brain from data acquired in average resting-state BOLD time courses?

Thanks
Regards

Shah

From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]] On Behalf Of John Fredy
Sent: Wednesday, March 21, 2012 3:38 PM
To: [log in to unmask]
Subject: Re: [SPM] resting state in older patients

Thanks for the reply

My process consist of: slice time correction, realignment, corregister of functional with structural, smooth, normalization and use of the PICA algorithm in the MELODIC software. Using that process pipeline I obtain good results in different subjects from different populations.

The realign process don't show significant movement

For this case I am processing a single subject,

I will try use the seed method

Thanks again to all for the reply

John Ochoa

Bioingeniería
Universidad de Antioquia

On Wed, Mar 21, 2012 at 11:32 AM, Enzo Tagliazucchi <[log in to unmask]> wrote:

Hi,

which method are you using? from my experience the "canonial" RSNs may be sometimes hard to identify if you use PICA. If you just want to check whether a particular RSN is on the data or not then I'd suggest seed correlation, which has stronger assumptions (ROI selection) but it is more likely to give you a nicer map for the RSN under study

Bw,

Enzo

On Wed, Mar 21, 2012 at 2:44 PM, John Fredy <[log in to unmask]> wrote:

Hello all,

I have a set of data from patients with ages around the 65 years. The data was adquired with the patients in resting following the same protocol that gave good results in youger patients. In the older patients I can't see the canonical networks, this could be for changes related with the age?, Exist any aditional consideration when processing data from older patients?

Thanks in advance

John Ochoa
Bioingeniería
Universidad de Antioquia