Perhaps you could try scrubbing the data as described in
http://www.sciencedirect.com/science/article/pii/S1053811911011815. You
can generate single frame regressors which have the same effect as
removing frames and use them in FEAT.
Peace,
Matt.
On 10/25/12 7:47 PM, "Susanne Becker" <[log in to unmask]>
wrote:
>Dear list,
>
>I have a problem with strong activation in the cfs and white matter in
>the analysis of an event-related fMRI experiment I did. No matter how I
>preprocess and analyze my data, I can't get rid of this csf and white
>matter activity in about a third of my subjects. In addition to the
>standard preprocessing steps, I added csf and white matter regressors,
>added the motion parameters, tried it with the motion outliers included
>and finally did an ICA, removing components that show strong csf and/or
>white matter activity. With all these steps the unwanted activity gets a
>bit smaller but the effects are surprisingly little. Especically with the
>csf and white matter regressors I see almost no effect. This surprised me
>and I would like to know if others have made similare experiences.
>Since I'm using pain stimuli, it is likely the csf and white matter
>activity is cause by stimulus related motion. Nevertheless, I'm confused
>how strong and resistand to any correction steps this activation is. Has
>anyone had similar problems and is there anything I can do in addtion
>about this?
>
>Thx,
>Susanne
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