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Hi Kersten & Martin,

I just wanted to ping this thread again, as I'm still unsure about my pcor 
value (4.4) that I'm getting. I've seen other posts where the threshold (thmin) 
value specified in functions such as mri_surfcluster are around 2 
(corresponding to a p-value of 0.01) when threshold *sig.mgh file(s). Given 
that I'm interested in both right and left hemispheres, I'm surprised that my 
single threshold value to account for both hemispheres is so high relative to 
others posts I've come across in the forum. I seem to have followed the LME 
approach correctly 
(https://secure-web.cisco.com/1P1DqCgATuRJ8Gb_Cv23uM_tkjhG63bDl2SmrFrqCZVQtvVbHQS8mBMjen-kyKVz-FHDOZkAsJGG1DVRGpaFKTeDjg018Mg7Us0gCiJuSt9wg8P0AVc4qSxJSnKSMX6mnBthVdKpPGHWNhlm54QJHIPPywgoXMjN_75H-aApJpFyRuFMwk-5fsy7NNGvq6Bt7D_aTkcmqOCRPc0Qhtao7PTC1Wa647zPjfC5WMvogY318nyXI-NDKST7SgFOO8lrWe4OOR1B8D6vY3hvbW60vWm_asRrwMN5eaQ4dmhsyeCVMQB6pM_C2cmoEkNkH90ic-sFaG5UcQPlLLrLXyH_9Ww/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FLinearMixedEffectsModels
 
<https://secure-web.cisco.com/1P1DqCgATuRJ8Gb_Cv23uM_tkjhG63bDl2SmrFrqCZVQtvVbHQS8mBMjen-kyKVz-FHDOZkAsJGG1DVRGpaFKTeDjg018Mg7Us0gCiJuSt9wg8P0AVc4qSxJSnKSMX6mnBthVdKpPGHWNhlm54QJHIPPywgoXMjN_75H-aApJpFyRuFMwk-5fsy7NNGvq6Bt7D_aTkcmqOCRPc0Qhtao7PTC1Wa647zPjfC5WMvogY318nyXI-NDKST7SgFOO8lrWe4OOR1B8D6vY3hvbW60vWm_asRrwMN5eaQ4dmhsyeCVMQB6pM_C2cmoEkNkH90ic-sFaG5UcQPlLLrLXyH_9Ww/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FLinearMixedEffectsModels>)
 but I'm unsure if I've done something that has resulted in an elevated pcor 
value. 

Martin had recommended the fslmer tool 
(https://secure-web.cisco.com/1f2ZYTXcSbFY4HqsjtbVZ5WFtQdhPr_P5UgrBHbi4cv6tXzH9AkMoC49SJidvN8KOesUL__-7wJaz-w-YBO9-JLSgN-s66cA_ATb3O9uESFLHsGDAHIbpXGV0NQzjMbccK9zFntec0iXjIoPF7pS67PhEIMRzIXxcsGD0vhclVwy1UQRFHr1IeNdNkvX57ShVW4OFh4LlDgaf5pdSCwvZw02TguHSSdl2cDidGQzWF_BZATX7IJkhDlP6JYZOLRlxCZmGhc6MdZhqsffzL7jzj64OW0O_fkZFOIFXlEzv780lDOHQINb51LAEeV7Ub0GsuwuuqNOHogzoUM9c0iLSIw/https%3A%2F%2Fgithub.com%2Fdeep-mi%2Ffslmer
 
<https://secure-web.cisco.com/1f2ZYTXcSbFY4HqsjtbVZ5WFtQdhPr_P5UgrBHbi4cv6tXzH9AkMoC49SJidvN8KOesUL__-7wJaz-w-YBO9-JLSgN-s66cA_ATb3O9uESFLHsGDAHIbpXGV0NQzjMbccK9zFntec0iXjIoPF7pS67PhEIMRzIXxcsGD0vhclVwy1UQRFHr1IeNdNkvX57ShVW4OFh4LlDgaf5pdSCwvZw02TguHSSdl2cDidGQzWF_BZATX7IJkhDlP6JYZOLRlxCZmGhc6MdZhqsffzL7jzj64OW0O_fkZFOIFXlEzv780lDOHQINb51LAEeV7Ub0GsuwuuqNOHogzoUM9c0iLSIw/https%3A%2F%2Fgithub.com%2Fdeep-mi%2Ffslmer>),
 I'd be happy to use that instead if it's more current and the preferred tool 
for this kind of analysis. 

Thanks again,

Dan
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