This plugin creates different motion confound models based on the motion parameters estimated during motion correction. Please note that all models, but the design matrix with the spike predictors, are z-transformed before saved to disk.
Spikes
This option detects time points in the data series that show spikes in the motion pattern, calculated based on the detrended motion parameters. A design matrix is created with stick predictors at the time points of the motion spikes. For motion spike detection the root mean square displacement from one volume to the next volume is calculated. The detected spikes in the motion parameters are dependent on the relative RMS displacement threshold (or spike detection threshold), which can be defined by the user.
Result: OriginalSDMName_3DMC_spikes.sdm

Detrended
This option creates a set of detrended motion parameters and saves them to a new design matrix file.
Result: OriginalSDMName_3DMC_detr.sdm

Detrended Derivative
This option creates the temporal derivative of each motion parameter and saves them to a new design matrix file. The average of the parameter change with respect to the previous and to the next volume is taken as the derivative.
Result: OriginalSDMName_3DMC_deriv.sdm

Detrended Squared
A new set of motion regressors is created representing the quadratic term of the detrended original parameters.
Result: OriginalSDMName_3DMC_sqr.sdm

Detrended Delayed 1TR
A new set of motion regressors is created representing the original motion parameters shifted 1 TR.
Result: OriginalSDMName_3DMC_t1.sdm

Detrended Delayed 2 TRs
A new set of motion regressors is created representing the original motion parameters shifted 2 TRs.
Result: OriginalSDMName_3DMC_t2.sdm

Detrended Delayed 1TR Squared
A new set of motion regressors is created representing the original motion parameters shifted 1 TR and squared.
Result: OriginalSDMName_3DMC_t1sqr.sdm

Detrended Delayed 2TRs Squared
A new set of motion regressors is created representing the original motion parameters shifted 2 TRs and squared.
Result: OriginalSDMName_3DMC_t2sqr.sdm


In addition, two plots are created:
  1. a line plot showing the estimated motion parameters

  2.  a line plot showing the detrended motion parameters as well as the motion spike detection threshold and the detected spikes


References
Power, J.D., Mitra, A., Laumann, T.O., Snyder, A.Z., Schlaggar, B.L., and Petersen, S.E. (2014). Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage 84, 320–341.

Satterthwaite, T.D., Elliott, M.A., Gerraty, R.T., Ruparel, K., Loughead, J., Calkins, M.E., Eickhoff, S.B., Hakonarson, H., Gur, R.C., Gu,r R.E., and Wolf, D.H. (2013). An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage 64, 240-256.