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The power of an fMRI study depends on two principle issues: (1) the size of
the effect relative to the group variance; and (2) the accuracy of the
estimates in each individual.

For general power calculations (e.g. to estimate #1), I use G*Power (
http://www.gpower.hhu.de/en.html).

There are two ways to increase power in an fMRI study: (1) collect more
trials/events; or (2) collect more subjects. You could compute the cost
associated with each option (
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2423281/).

The tool for doing this can be found here:http://fmripower.org/

At some point, collecting more data in each subject will not improve the
power because the estimate does not change.

It is an empirical question of how many trials in a paradigm are needed to
reach the point where the estimates won't change/don't change enough to
influence the results. I'd go to the literature and see what other groups
have done using similar paradigms.

In my own work, I try to have at least 30 trials of each trial type. This
was based on a early fMRI paper: http://www.ncbi.nlm.nih.gov/pubmed/11496120

One last thing to keep in mind. Power calculations can not be computed
post-hoc for the current study. Power calculations can only be done for
future studies.




Best Regards, Donald McLaren
=================
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General Hospital and
Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren
Office: (773) 406-2464
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On Tue, Jun 10, 2014 at 7:40 AM, Mark <[log in to unmask]> wrote:

> Sorry but hope someone can help for these questions.
>
> Also, how can I estimate the power of my experiments? I mean, how can I
> decide the number of trials I should collect in my experiment to reach
> sufficient power during analysis?
>
> Thanks again.
>
> Mark
>