Abstract #4124
Using edge voxel information to improve motion regression for rs-fMRI connectivity studies
Remi Patriat 1 , Erin Molloy 2 , and Rasmus M Birn 3,4
1
Medical Physics, University of Wisconsin
Madison, Madison, Wisconsin, United States,
2
University
of Illinois Urbana-Champaign, Illinois, United States,
3
Psychiatry,
University of Wisconsin Madison, Madison, Wisconsin,
United States,
4
Medical
Phtysics, University of Wisconsin Madison, Madison,
Wisconsin, United States
We developed a new motion correction method for resting
state fMRI analysis that makes use of information
contained at the edge of the brain to create a set of
regressors that explain more variance and improve image
quality compared to the current standard methods.
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