Hi,
No, the smooth time courses will not be the correct ones to use on the unsmooth data. You could use the spatial maps classified as noise and then use dual regression on the unsmooth data to generate the correct time courses.
Hth
Christian
> On 31. May 2018, at 19:14, Chirag Limbachia <[log in to unmask]> wrote:
>
> Thank you!
>
> I have another question:
>
> We also have the unsmooth version of the data on which we performed aroma denoising. To regress out motion from the unsmooth data, is ica-aroma approach recommended?
>
> OR,
>
> Is it okay to use the IC timeseries--which were classified as motion/noise on the smooth data during aroma--to regress out motion from the unsmooth data? (I am not sure if this is theoretically justifiable)
>
>
> Thank you,
> Chirag
>
> On Wed, May 30, 2018 at 4:39 AM, Maarten Mennes <[log in to unmask]> wrote:
> It should be ok to run AROMA on the concatenated dataset.
>
> Maarten
>
> On Tue, May 29, 2018 at 6:39 PM, Chirag Limbachia <[log in to unmask]> wrote:
> FSL Experts,
>
>
>
> We are using ICA-AROMA to regress out motion from our functional data. We have a total of six runs per subject, and we indent to perform ICA-AROMA on their functional data that is already transformed to standard space.
>
>
>
> My question:
>
> Is it recommended to do ICA-AROMA on each run separately, or is it better to concatenate all the runs and then do the ICA-AROMA?
>
> Note: We have aligned all the volumes of the all the runs to the first volume of the first run for each subject.
>
>
>
>
> Any insight, experience, or suggestion is highly appreciated.
>
>
>
> Thank you,
>
> Chirag
>
>
>
>
>
> --
> Maarten Mennes, Ph.D.
> Senior Researcher
> Donders Institute for Brain, Cognition and Behaviour
> Radboud University Nijmegen
> Nijmegen
> The Netherlands
>
> Google Scholar Author Link
>
>
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