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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
