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Hi Alberto,

There are advantages (and disadvantages) to both methods - the
data-driven approach gives group maps that better represent your data
set, whereas using pre-defined group maps makes your results more
comparable to others which used the same maps.

Your suggested approach sounds ok, although you will typically get
better results with smooth maps (e.g. group melodic output) than with
binary masks or thresholded maps.

Cheers,

Paul

On 20/10/2018, Alberto Inuggi <[log in to unmask]> wrote:
> while pressing send...I had an idea.
> the neurosynth suggestion was raised by a reviewer that claimed that I
> erroneously called my "fronto-parietal networks" as a WM network, and I
> should have used the corresponding neurosynth mask instead.
>
> I will try to mask (make intersection) my pure data driven fronto-parietal
> RSN (obtained from dual regression) with the WM neurosynth RSN so I should
> be sure(er) that I'm actually investigating WM related functional
> connectivity.
> does it sound correct ?
>
> cheers
> Alberto
>
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