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Thank, Bruce. So the final message is that I should use the same average subject to display results of cortical thickness even when samples to be compared have highly different brain morphology. Is that correct?
El lun., 18 feb. 2019 a las 23:37, Bruce Fischl (fischl@nmr.mgh.harvard.edu) escribió:
Hi Jose
usually we don't need multiple averages (or study specific ones), which simplifies things considerably. Is there a reason you think you need one? We intentially use the gray/white boundary for this reason, which is insensitive to any possible cortical atrophy.
cheers Bruce
On Mon, 18 Feb 2019, Laboratorio de Neurociencia Funcional wrote:
External Email - Use CautionDear all,
I am planning to run separate regression analysis with cortical
thickness in two very different
populations (young and elderly subjects). Depending on results, it may
happen that I am interested
in comparing regression slopes between the two groups. My question is:
should I build one average
subject for each within-group regression analysis (one for young and
another for elderly), and
another different average subject merging all subjects of the two
samples to compare regression
slopes? Or I should preferably use only one average subjects with all
subjects in all within and
between regression analysis?
Many thanks in in advance.
Best regards, Jose
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