| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6033413 | NeuroImage | 2012 | 11 Pages |
Abstract
⺠Translations and rotations can be combined into a single measure (total displacement). ⺠More covariates lead to a progressive loss of detection power (first>second level). ⺠An individually-derived motion fingerprint can be computed from the data. ⺠Such a “mfp” explains variance to a similar degree as the realignment parameters. ⺠This individualized approach to explaining motion-related variance may be beneficial.
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Authors
Marko Wilke,