I am still naive to spm (reading manuals) but I have a question about the second level source analysis in spm5 and spm8 regarding meg data. In short what is the difference between second level analysis for meg and fmri? can both options be used for meg data? I have created volumetric images from meg data.
In spm5 manual it states that the 'basic models' implemented for fmri can be used for meg data as well. during the estimation procedure when using the fmri option there is an prompt about classical or bayesian model estimation. In the m/eeg option such prompt does not appear but the estimation still takes place. the former option give results but the latter does not. no contrast manager is created actually. Is it safe to let classical model estimation/and or bayesian model estimation be applied to meg data by using the fmri option? what does it depend on? any theory behind that I should read? I have the same problem in spm8 as in spm5. any thoughts? my basic problem is that I would like to know what is estimated in each option behind the scenes and whether I can use the frmi option for meg data. the manual does not state the opposite. I tried to sent this msg before but it did not appear on the list. sorry for any inconvinience