I can't say whether it's the best way, but it should be relatively unbiased
On Tue, 5 Jul 2011, Ignacio Letelier
wrote:
Then, and finally is this method the best way to determine whether exist any
cortical thickness anomaly, I mean, to use a normal control acquisition as
comparisson?
Thanks
Then, and finally is this method the best way to determine whether exist any
cortical thickness anomaly, I mean, to use a normal control acquisition as
comparisson?
Thanks in advance
Ignacio.
2011/7/5 Bruce Fischl
> Hi Ignacio,
>
> the thickness is definitely affected by factors such as sequenc
Hi Ignacio,
the thickness is definitely affected by factors such as sequence type,
field strength and acquisition parameters (not to mention age, maybe
gender, etc...) so I think you need to acquire your own control(s) on a
matched acquisition.
cheers.
Bruce
On Tue, 5 Jul 2011, Ignacio Let
Hi Ignacio,
I see. You could do that, but I don't think it will show what you want.
There is a big geometric component to the thickness - crowns are thick and
fund are thin - so at the very least you might try including mean curvature
as a covariate.
cheers
Bruce
On Fri, 1 Jul 2011, Ignacio
Sorry I didn't realize since you have the same domain.
Ok, Let's say I do know the mean cortical thickness value of a subject. Then
is it possible know what brain areas differ more from that mean value by
using a color map visualization (I.e. for example: red = higher deviations,
deep blue = low
Hi Ignacio
you mean different from the median in that subject? Easy enough to do in
matlab, but we don't have anything out of the box to do it
cheers
Bruce
On Fri, 1 Jul
2011, Ignacio Letelier wrote:
Hi forum
Is it possible to get statistical maps of cortical thickness differences in
th
Hi forum
Is it possible to get statistical maps of cortical thickness differences in
the same subject? I.e. to know what areas differ most from the median
--
Ignacio
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