Back to PLS Help

Strange results for longitudinal structural data

I'm Online
guoo
Posted on 08/29/17 10:54:54
Number of posts: 10
guoo posts:

Greetings PLS experts,

I recently used the PLSgui to perform a longitudinal analysis of structural MRI gray matter images for music training with the ‘Seed Pls’ method. I had 27 participants in my control group, and 29 participants in my training group. For these two groups, each participant was performed 3 times MRI scans (at the beginning of the training, the ends of the 6 months training, and 9 months after the end of training, respectively).The volumes of the left and right anterior(aHC) and posterior hippocampus(pHC), corresponding to the time points respectivly, were defined as the seed values.


The training group and control group  were performed seed PLS alone. According to suggestions from 'PLS Help' , there were two methods to array the datamats to perform this analysis: treating it as one group measured three times with entering these sessions into a single data matrix - essentially a three-condition(eg. gm1, gm2, gm3) study in method1, or treating it as three groups in method2. In general,The permutation rules were
the same between these two methods. However, When I tried both of the two methods, results were a liitle different, details were as follows:

Only the first 3 latent variables in the training group were shown to be significant in both methods. Here is the link of results:
http://s1043.photobucket.com/user/guodafei/media/PLS%20result/method1_LV1_bar_correlations_zpsq3e01ajb.png.html?sort=9&o=0

additional information are as follows,
method1:
LV1(p < 0.000; accounting for 60.67% of the cross-correlation variance)
LV2(p < 0.000; accounting for 27.74% of the cross-correlation variance)
LV3(p < 0.035; accounting for 3.63% of the cross-correlation variance)

method2:
LV1(p < 0.000; accounting for 60.67% of the cross-correlation variance)
LV2(p < 0.000; accounting for 27.74% of the cross-correlation variance)
LV3(p < 0.038; accounting for 3.63% of the cross-correlation variance)
The analysis was performed using 5000 permutations and 5000 bootstraps.

I am afraid that I have a wrong understanding of the permutation rules in 'Regular behav PLS', or should I increase the times for permutations and bootstraps?

Thanks in advance for any advice.

guo o

Replies:

Untitled Post
rmcintosh
Posted on 08/29/17 11:04:13
Number of posts: 394
rmcintosh replies:

I am not entirely sure where you are seeing differences. 

Can you use something other than photobucket to send the screen capture of the results.  Photobucket has too many pop-up ads.  

You can email me the screen captures if that's easier:  rmcintosh@research.baycrest.org



Untitled Post

I'm Online
guoo
Posted on 08/30/17 21:33:22
Number of posts: 10
guoo replies:

Sorry for this hassle with sharing the images. I have sent you an email, hopefully this works.

thanks for the help.

guo o




Login to reply to this topic.

  • Keep in touch

Enter your email above to receive electronic messages from Baycrest, including invitations to programs and events, newsletters, updates and other communications.
You can unsubscribe at any time.
Please refer to our Privacy Policy or contact us for more details.

  • Follow us on social
  • Facebook
  • Instagram
  • Linkedin
  • Pinterest
  • Twitter
  • YouTube

Contact Us:

3560 Bathurst Street
Toronto, Ontario
Canada M6A 2E1
Phone: (416) 785-2500

Baycrest is an academic health sciences centre fully affiliated with the University of Toronto