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Additionally, 6 movement regressors of no interest, resulting from the realignment step, were included per session.
Afterwards, a realignment step was performed using rigid body transformation.
Realignment parameters as determined in the realignment step were used as confounding covariates.
The movement and rotations estimated during the realignment step were used to create six additional regressors of no interest.
Figure 5 shows that the major part of the running time is spent on the soft-clipping realignment step.
The movement parameters derived from the realignment step during preprocessing were modeled as covariates of no interest.
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Employing only 1 lithographic step and several batch processing techniques, we ensure that the creation of the complex shapes can be obtained in a reproducible manner without subsequent realignment steps.
To account for signal fluctuations associated with the movement by susceptibility interaction, the six movement parameters from the realignment preprocessing step were included in the model as additional regressors.
Head movement parameters calculated from the realignment pre-processing step were included as regressors of no interest.
Head movement parameters calculated from the realignment pre-processing step and physiological data acquired during the scan (heart-rate and respiration) were also included in the model (see File S1: Physiological noise correction).
Standard pre-processing steps (realignment, coregistration, normalization and smoothing) were applied.
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