SPIKECOR: fMRI tool for automated correction of head motion spikes

This algorithm corrects for "spikes" in fMRI data, typically caused by abrupt head motion during scanning. SPIKECOR identifies outliers using Principal Component Analysis (PCA) in a sliding time-window; it is sensitive to global motion artifact, and stable against non-stationary signal changes.
Unlike typical "scrubbing" protocols it is automated, and identifies motion outliers using purely statistical criteria - no need to select arbitrary motion thresholds! It also replaces outlier volumes with interpolated values using cubic splines, which minimizes discontinuities in the data.

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