An alternative approach towards assessing and accounting for individual motion in fMRI timeseries

► Translations and rotations can be combined into a single measure (total displacement). ► More covariates lead to a progressive loss of detection power (first>second level). ► An individually-derived motion fingerprint can be computed from the data. ► Such a “mfp” explains variance to a similar degree as the realignment parameters. ► This individualized approach to explaining motion-related variance may be beneficial.