Quantcast
Channel: NITRC CONN : functional connectivity toolbox Forum: help
Viewing all articles
Browse latest Browse all 6861

Contrast definition

$
0
0
Hi, apologies if this has been asked before however I need some clarification on my resting-state contrasts. I have two groups [autism spectrum disorder (ASD) vs. typical development (TD)]. I am wanting to look at how behavioral covariates are associated with functional connectivity while controlling for average motion across the [u]entire[/u] sample (I will look at the groups individually after), however depending on my approach I get radically different results.

[b]Approach A[/b]
[i]3 second level covariates:[/i][list][*]sample_ids (1's for both ASD and TD)[*]behavioral_measure[*]average_motion (average of the 6 motion parameters generated in pre-processing for both ASD and TD)[/list]
Contrast: [0 1 0]

[b]Approach B[/b]
5 second level covariates:[list][*]ASD_ids[*]TD_ids[*]behavioral_measure[*]ASD_average_motion [*]TD_average_motion[/list]Contrast: [0 0 1 0 0]

Approach A gives me a huge amount of results (suspiciously large amount) whereas approach B gives me few results but potentially more reliable. Does anyone have any advice on which is the correct way to do this? My intuition is that approach B makes more logical sense as it controls for the potential differences between the two groups.

Any help would be appreciated. Thanks,

Viewing all articles
Browse latest Browse all 6861

Trending Articles



<script src="https://jsc.adskeeper.com/r/s/rssing.com.1596347.js" async> </script>