mriqc
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Unusual DVARS, outlier count, carpet plot patterns in initial volumes
Example 1
Example 2
We are seeing this across scanners and sequences. I wonder if this has something to do with the fact that those values are calculated after motion correction and motion correction is using a reference volume calculated using an average of a subset of X first volumes. https://github.com/poldracklab/mriqc/blob/ca6b21c84566f6aadeb1aac2809d4ec09278b5e3/mriqc/workflows/functional.py#L585
Here's a good case we can try to test this theory on: https://s3.amazonaws.com/openneuro.outputs/447d26e4f9fe6ce7b5ff851356280f6a/dae3c6ba-9b1f-471e-b54d-64c9cfc34f91/reports/sub-9_task-cueexposure_bold.html
From https://openneuro.org/datasets/ds001247/versions/00001?app=MRIQC&version=65&job=5a99767bdf832f000104dd30
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
Has this been resolved? I'm seeing similar issues with the beginning of some runs of my data (not all) but also at the ending of a run (processed with MRIQC version: 0.11.0, though).
![screen shot 2018-09-12 at 3 42 04 pm](https://user-images.githubusercontent.com/32400488/45516602-972c7880-b779-11e8-8d07-00cae1f18b3c.png)
![screen shot 2018-09-12 at 3 42 23 pm](https://user-images.githubusercontent.com/32400488/45516617-a4496780-b779-11e8-858c-4930b065cee8.png)
![screen shot 2018-09-12 at 3 41 51 pm](https://user-images.githubusercontent.com/32400488/45516647-c347f980-b779-11e8-9b2b-c13049ee7cf0.png)
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.