Hi,
It plots the input contrast of parameter estimates (COPE) values that
are fed in from the lower level (as input to this higher level) versus
the
model that you are fitting at the higher level. So the vertical axis is
simply about the size of the parameter estimates which depends on
the scale of your regressors (EVs). If you have EVs that are in the -1
to 1 range (fairly typical) then the scale of the parameter estimates
should be the same as that of the input image intensities (which,
after grand mean scaling, would have a mean intensity of 10000
and hence the BOLD changes will be around the region of 100 or so
for a 1% signal change).
All the best,
Mark
On 18 Nov 2008, at 22:15, Kent Conover wrote:
> Hi,
>
> I would appreciate it if someone would explain what the vertical
> axis in
> the timeseries plots for higher level FEATs represents.
>
> Regards,
>
> Kent Conover,
>
> Centre for Studies in Behavioral Neurobiology,
> Concordia University,
> Montreal, Quebec,
> Canada
>
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