Stephen (Steve) J. Suss Jr., BS
UPMC Research Specialist
Loeffler Building
121 Meyran Avenue
Pittsburgh, PA 15260
No we don’t have a graphic report. I’ve found computing DVARS after sICA+FIX cleanup to be a good way to identify and quantify motion that strongly influences the image intensities.
Matt.
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Also, the Movement*txt files that don’t end with “mean” contain the actual time series for the run, which you can plot using your preferred plotting tool.
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Michael Harms, Ph.D.
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Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO 63110 Email: mha...@wustl.edu
From: "Glasser, Matthew" <glas...@wustl.edu>
Reply-To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Date: Friday, November 20, 2020 at 9:23 AM
To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Subject: Re: [hcp-users] motion parameter reports for RS data using HCP
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There are publications (e.g. from Jonathan Power) that describe the implementation. Something like abs(DVARS)-median(DVARS) of 11-15 is good for identifying motion epochs.
Matt.
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You would apply the threshold of 11-15 to that computed timeseries.
Matt.
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I don’t think we have published the specific evidence for the threshold I suggested. You can choose to use it or not.
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Note that “baseline” DVARs is highly influenced by image SNR.
Here’s a paper for a principled scaling of DVARS, if you want to look into using it:
https://www.ncbi.nlm.nih.gov/pubmed/29307608
cheers,
-MH
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Michael Harms, Ph.D.
-----------------------------------------------------------
Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO 63110 Email: mha...@wustl.edu
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