Hi
If the timecourses associated with any effect are not identical between subects/sessions then TICA is not appropriate. You can use the 'temporal concatenation' approach instead
hth
Christian
On 28 Jun 2010, at 21:07, Michael Hallquist wrote:
> Dear FSL users,
>
> I am learning melodic in order to undertake an ICA of an event-related task using an existing dataset. Although I have read several papers on this topic and have explored the melodic practical from the FSL course, I am uncertain whether Tensor ICA or Temporal Concatenation ICA is appropriate for my data.
>
> I have approximately 30 subjects, 15 adults and 15 adolescents who completed four runs of the same task. The task was pseudorandomized across runs such that all participants saw exactly the same four runs, but the order of stimulus presentation differed per run. Because all participants received the same stimulation, I had hoped to use Tensor ICA. But because sessions and subjects are both higher-level effects, I didn't know whether this could be done. One alternative I had considered is temporally concatenating each participant's data and running a multi-subject, single-session (from the perspective of melodic) Tensor ICA.
>
> What would you advise?
>
> Thanks very much for your help,
> Michael
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