| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6030952 | NeuroImage | 2013 | 13 Pages |
Abstract
⺠We introduce a new approach to data-driven physiological noise correction for fMRI. ⺠The correction increases the consistency of default mode network correlations. ⺠Resting state consistency was improved both within and across subjects. ⺠Greater consistency was obtained with the new approach than with other corrections. ⺠Combining the new approach with a model-driven correction yielded the best results.
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Authors
Michael Marx, Kim Butts Pauly, Catie Chang,