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Hello Freesurfer Team,

I recently ran analysis to compare change in cortical thickness between an 
Intervention and Control group longitudinally. The contrast is set up as 
INT-CON, and therefore I would interpret a positive change as the intervention 
having a greater increase in cortical thickness or less atrophy than the 
control group.

The cluster that survived the Monte-Carlo simulation showed a positive 
difference in the LH superior parietal region when running both an ‘abs’ and 
‘pos’ simulation (these showed the same cluster.summary outputs). There was not 
a significant cluster when running the ‘neg’ simulation. When I compared the 
mean change in thickness between groups (cache.th13.abs.y.ocn.dat file), it 
showed that the control group experienced less atrophy than the intervention 
despite having a positive cluster output.

One possible solution I considered is accounting for baseline differences 
between groups when looking at mean change. Does glmfit control for baseline 
cortical thickness in the cluster analysis that is not accounted for in the 
mean change values from the cache.th13.abs.y.ocn.dat file? Is there another 
possible explanation for this discrepancy?

Thank you in advance,

Ryan S


Ryan G. Stein

MSc Student, Rehabilitation Sciences

Aging, Mobility, and Cognitive Health Lab
Djavad Mowafaghian Centre for Brain Health
University of British Columbia | Vancouver Campus | Musqueam Traditional 
Territory

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