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brain-behavior correlation with ERPs
Kalinka
Posted on 05/04/17 12:46:54
Number of posts: 2
Kalinka posts:

I ran a regular behavior PLS to investigate the relation between brain (ERP data) and behavior. In the scalp scores plot I see that there is a correlation of .73 and of .85 for my two conditions. But when I look at the behavioral LV both conditions show a behav LV of about .6 and the p-value is not significant. What does this behavioral LV tell me? And how do I know whether my brain-behavior correlation is a true effect?

Thank you very much in advance,

Kalinka.

Replies:

Untitled Post
rmcintosh
Posted on 05/04/17 12:57:23
Number of posts: 394
rmcintosh replies:

quote:

I ran a regular behavior PLS to investigate the relation between brain (ERP data) and behavior. In the scalp scores plot I see that there is a correlation of .73 and of .85 for my two conditions. But when I look at the behavioral LV both conditions show a behav LV of about .6 and the p-value is not significant. What does this behavioral LV tell me? And how do I know whether my brain-behavior correlation is a true effect?

Thank you very much in advance,

Kalinka.

the behavlv is the singular vector from the SVD scaled by its corresponding singular value.  It will be similar to the pattern of correlations of each behavior with the scalp/brain scores, but not identical.  If the entire LV is non-significant by permutation (the p-value) then its not  'true" effect in the sense of being differentiable from a random pairing of the EEG data to behavior.  The correlations themselves do have confidence intervals calculated but if the overall relation is not significant, it makes the interpretation of the correlations and confidence intervals difficult



Untitled Post
Kalinka
Posted on 05/05/17 07:02:30
Number of posts: 2
Kalinka replies:

quote:

the behavlv is the singular vector from the SVD scaled by its corresponding singular value.  It will be similar to the pattern of correlations of each behavior with the scalp/brain scores, but not identical.  If the entire LV is non-significant by permutation (the p-value) then its not  'true" effect in the sense of being differentiable from a random pairing of the EEG data to behavior.  The correlations themselves do have confidence intervals calculated but if the overall relation is not significant, it makes the interpretation of the correlations and confidence intervals difficult

Thank you very much for the clear and quick answer!

Kalinka




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