I think if you start doing a lot of HPF you start picking up structured 
artifacts in the data, which may make distinguishing between signal and noise 
more difficult for the ICA.  I'm not aware of any other tests than the one that 
Steve and I did between hp2000 (essentially linear detrend) and hp200.  hp2000 
performed better with ICA+FIX classification and convergence, but the 
confounding variable was that I classified all of the hp2000 and Steve all the 
hp200, so it is possible that I did a better job with the classification too.

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Keith Jamison <[email protected]<mailto:[email protected]>>
Date: Thursday, October 6, 2016 at 1:35 PM
To: "Xu, Junqian" <[email protected]<mailto:[email protected]>>
Cc: HCP Users 
<[email protected]<mailto:[email protected]>>, "Ely, 
Benjamin" <[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] MELODIC denoising vs. released ICA-FIX datasets

Steve,

Have you found an obvious downside to a shorter HPF cutoff of, say, 200 
seconds?  Would the HCP FIX training data still apply or would the classifier 
need to be retrained?

-Keith


On Thu, Oct 6, 2016 at 12:43 PM, Xu, Junqian 
<[email protected]<mailto:[email protected]>> wrote:

> On Oct 4, 2016, at 9:03 PM, Ely, Benjamin 
> <[email protected]<mailto:[email protected]>> wrote:
>
> Thanks Steve, that's good to keep in mind. Our acquisition is a single 
> "HCP-like" 15 minute run at MB6, 2.1mm isotropic resolution, TR=1s, AP phase 
> encoding, 32-channel head coil on a 3T Skyra; hopefully that gives us a 
> similar temporal profile.

It's not much about the acquisition protocol (though in the multiband era, MB 
is now related to scanner transmitter stability), but rather the scanner 
stability itself.

> Sounds like I should compare our temporal stability against the HCP's - is 
> there a measure you recommend?

HCP Connectom Skyra scanner has quite small temporal drift and a very linear 
trend (specific to the gradient and body coil hardware characteristics), which 
a typical Skyra can't match. To determine what detrending cutoff you should use 
for your site-specific data, you could run a 5-10min fBIRN phantom scan with 
your fMRI protocol and look at the scanner stability.

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