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Briefly, all functional images were slice time corrected with reference to the first slice acquired, corrected for motion artifacts by realignment to a mean functional image and spatial normalized to a standard T1-weighted template provided by SPM2.
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The images were motion corrected by realignment to the middle volume of the 4D dataset, smoothed using a 6-mm full-width at half maximum smoothing kernel, and non-linearly registered via the participant's T1-weighted structural image to the MNI-152 template.
The remaining functional images were corrected for differences in slice acquisition timing, which was followed by realignment to the middle image in the initial scan to correct for inter-scan movement and to remove signals correlated with head motion.
The fMRI data were processed and analyzed according to the general linear model procedure by Friston et al. (1995) as implemented in Statistical Parametric Mapping (SPM8), (http://www.fil.ion.ucl.ac.uk) running on MATLAB2009b (The Mathworks Inc., Natick, MA, USA).The functional images for each subject were corrected for motion artefacts by realignment to the mean image.
All functional images were corrected for slice intensity differences with reference to the middle slice acquired in time; corrected for motion artifacts by realignment to the first volume; corrected for distortions based on the field map [Hutton et al., 2002]; and corrected for the interaction of motion and distortion using the "Unwarp toolbox" [Andersson et al., 2001; Hutton et al., 2004].
Results: We present ABRA, an assembly-based realigner, which uses an efficient and flexible localized de novo assembly followed by global realignment to more accurately remap reads.
Registration of these images is made in the adaptive polar transformed domain using phase correlation because it is very easy to find the number of change by phase correlation and registration can be made by realignment opposite to shifting in transformed domain.
Spatial preprocessing using SPM5 [ 22] included motion correction by realignment, normalization to the MNI brain reference space [ 23], and spatial filtering with an 8 mm Gaussian kernel.
The majority of these deletion mutations are double base deletion mutations, suggesting that these double base deletion mutations arose after hRev1 incorporated two dC nucleotides into the primer strand, followed by realignment of the primer strand to loop out the +1 and +2 template positions, and subsequent extension by hPolκ.
But there are colleges on the losing end, too — those stuck in conferences whose value is diminished by realignment, those that simply lack the resources to build teams good enough to break into the exposure game.
Last year, the Los Angeles County Board of Supervisors agreed to send more than 500 low-risk inmates to various fire mountain camps in a bid to reduce jail overcrowding caused by realignment.
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