sorry, please include the previous email chain so that I know what you
are referring to
On 5/7/2020 5:33 PM, Xiaojiang Yang wrote:
External Email - Use Caution
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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