Hi
You may want to have a look at:
Lemieux et al. Modelling large motion events in fMRI studies of
patients with epilepsy. Magnetic Resonance Imaging (2007)
http://linkinghub.elsevier.com/retrieve/pii/S0730725X07002214
Hope this helps
Torben
Den 02/02/2009 kl. 21.56 skrev Ben Yerys:
> Hello--
>
> I have a pediatric dataset that is hampered by motion-related
> artifacts. I
> have tried using motion as a covariate, ArtRepair and FSL's melodic
> algorithim
> to remove artifacts, but have found inconsistent results (good for
> some
> participants but not others). I have also started to remove the
> individual
> scans that are artifact ridden and modeled them as a separate
> condition in my
> event-related design. This last solution appears to reduce the
> artifact
> activations more than my previous attempts. Despite the
> disadvantage of
> losing power in an event-related design, are there other reasons
> that speak
> against using this method for artifact correction?
>
> Thanks so much for your input,
> Ben
>
|