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Hi David,

Another thing to try is to use the single band reference image for the func to highres registration. It’ll have much better SNR than the multi band ABCD EPI “example_func”. Not sure if this is done or not in their pipeline. There’s no mention of it in https://www.biorxiv.org/content/biorxiv/early/2018/11/04/457739.full.pdf




Cheers,

Taylor Hanayik


Taylor Hanayik PhD
Analysis Research Software Engineer
FMRIB, John Radcliffe Hospital
University of Oxford
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On 30 Oct 2019, at 17:29, David V. Smith <[log in to unmask]<mailto:[log in to unmask]>> wrote:

Hello,

I'm working on some analyses with the ABCD data, but I'm running into a registration issue with some of the data. We're using their minimally preprocessed data, which I believe includes B0 distortion correction and motion correction.

https://www.dropbox.com/s/wdkt9tjdtthziik/ABCD-data_BadRegistration.png

In the example above (which is just using FLIRT), I'm assuming the mismatch between the example_func and standard is due to the mismatch between the example_func and the highres. But, it's not clear to me whether/how the mismatch between example_func and highres can be corrected. It almost looks as if the fieldmap was applied incorrectly. Any thoughts/advice?

If they can't be corrected, should we exclude these types of subjects from our analyses?

Thanks!
David

--
David V. Smith, Ph.D.
Assistant Professor of Psychology
Temple University
Weiss Hall, Room 825
1701 North 13th Street
Philadelphia, PA 19122
Office Phone: 215-204-1552
Lab Website: https://sites.temple.edu/neuroeconlab/

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