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Dear FreeSurfer experts,

I would like to use mri_glmfit to do 2nd level random effects analysis on fMRI 
data I fit with GLMsingle: 
https://secure-web.cisco.com/114IBmtjAcpPLMEdKHUFIkzufzyCZI6VANnXTx7RjQGYq5yErpvkas_-zypLXsmlhOEN4GD44L8NWAdWRkDPdDZ4SKnPxyGgqRnL5qni8GG5_Ha4Jb4byuo1vceieC8Wrfx-mrHKZQySW_vXva_0qO-1MBz6x1Lp-KgCwzfBDEJvpiI71cKZQ81upZuqclhaczlWroiNyF4GbRi_Iul8eV7cDCHp4RT1F5fEj6sSwG2Y6uapdzDoQADWgNw2aPmj2Ex-I3w4So9vE86L-ctw0u79MnPJCuovJrU9xISWGgTOPhG_p2MPMl1RstQZ_H7qMMLyzTcAo-FBSUBwIS-q_Hg/https%3A%2F%2Fdoi.org%2F10.1101%2F2022.01.31.478431
 

>From GLMsingle I get standardized mean difference (SMD) for any given 
>contrast, i.e. beta- difference map weighted by inverted square root of pooled 
>variance. 

I am wondering if can I just feed those SMD maps to mri_glmfit via mri_concat 
or am I missing something elementary? 

Thank you again! 
Lauri Tuominen   

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