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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.
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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.
The local realignment step aims to correct misalignment caused by the presence of insertions or deletions (indels).
A file containing the movement parameters for each individual (3 translation and 3 rotation axes) was obtained from the realignment step and saved for inclusion in the model.
Movement parameters from the realignment step and ART regressor (described above) were included in the model to remove residual motion-related noise.
Head movement parameters, obtained during the realignment step, and the subjects' button presses were included in the analysis as events of no interest.
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