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open-discussion > Too many outliers in preprocessing step
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Jul 24, 2018 12:07 PM | amalia
Too many outliers in preprocessing step
Hi there!
In the preprocessing/denoising steps, the software has determined that all of the data points are outliers for just one of my four subjects. I have reviewed the scans for this subject meticulously, and it doesn't look any different than the other three scans. Can you think of any reason that this would be the case? I have attached an image of plots from one of the subjects that processed correctly (Subject 1), and the subject that is not processing correctly (Subject 4). There is no connectivity (seed-to-voxel) appearing for subject 4 in the 1st-level analysis.
Thank you!!
In the preprocessing/denoising steps, the software has determined that all of the data points are outliers for just one of my four subjects. I have reviewed the scans for this subject meticulously, and it doesn't look any different than the other three scans. Can you think of any reason that this would be the case? I have attached an image of plots from one of the subjects that processed correctly (Subject 1), and the subject that is not processing correctly (Subject 4). There is no connectivity (seed-to-voxel) appearing for subject 4 in the 1st-level analysis.
Thank you!!
Jul 24, 2018 12:07 PM | NITRC Moderator
RE: Too many outliers in preprocessing step
Hi,
What software are you using?
What software are you using?