Open tsalo opened 6 years ago
Nice ! Coming back to this, do you think we should test on ds000254 as our third test in tedana
? Since we're using circle workflows we can run all of our datasets in parallel, and it seems the most distinct from what we have already !
EDIT: I'm actually not sure that would be a good idea, since it's also pCASL. @handwerkerd is likely to have a MB dataset we could use, though.
Something with MB would be good, but I don't think I have any multi-band multi-echo data from an actual study sitting around. I've just piloted a few sequence options with this. I plan to collect some of these data in the near-ish future, but if you want a dataset now, you'll need to get it from somewhere else.
@emdupre I think that ds000254 would be a good choice, largely because it includes a well-characterized task. We can use motor cortex ROIs to look at betas across pipelines. On the other hand, ds001491 uses an IAPS event-related task, so we could do the same thing with a V1 seed if the simultaneous pCASL is an issue.
We can also request access to the Cam-CAN film viewing dataset and treat it like resting-state data. That dataset has five echoes and (I believe) a large number of participants.
I was given access to the Cam-CAN dataset. There are 649 participants ranging in age from 18.5 to 88.9 years old, with an average of 54.8 yrs. Each has one run of five-echo film-viewing data. My understanding of the usage requirements, based on the uses I specified in my application, is that we can use it for tedana validation/comparison-type papers as long as we include the proper acknowledgements and citations.
Per discussion on gitter and in the tedana testing Google Doc, we want to download a set of datasets from OpenNeuro with a range of parameters to check their results across pipeline implementations. Here is a list of datasets we can use (to be updated as new ones are added to OpenNeuro):
Outstanding questions: