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Douglas,

Just as I mentioned in the initial email, subjects in the healthy group have
different ages. Because average cortical thickness is believed to be
declined as the age gets older, I want to "normalize" the group by
multiplying each subject's thickness with an age-dependent scalar
(pre-calculated constant). Suppose I take age 30 as the "standard" age, then
subjects with ages greater than 30 will have scalars greater than 1 (depend
on age); subjects with ages smaller than 30 will have scalars less than 1.
In this way, all subjects in the group looks like to be at the same age
(30).

Of course, I also suspect that there is no need to do the above mentioned
normalization if I use mri_glmfit. But my initial intention was using
non-linear scalars, and mri_glmft can only use linear fit. Please give me
your opinion. Thank you!

Xiao

 

 

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