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For example, in the case of motion correction, metrics for model selection should include an estimate of residual head motion effects in the data [ 87- 90].
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Functional data were motion corrected offline with the Siemens motion correction protocol.
Images were displayed sequentially and corrected for motion when necessary using motion correction software.
In addition to on-line motion correction (prospective acquisition correction), functional scans were corrected retrospectively for motion using the AFNI algorithm (Cox and Jesmanowicz, 1999).
When necessary, acquired volumes were corrected for motion with a 3D rigid motion correction, based on skull movement.
Images were corrected for differences in timing of slice acquisition followed by rigid body motion correction.
It includes static metrics, dynamic metrics, prior metrics and correction metrics.
Therefore, motion correction is essential.
Fig. 2 The influence of motion correction.
c The data after motion correction.
However, motion correction for cardiac motion still plays a role.
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