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All fMRI data analyses were conducted on intensity time courses extracted from each participant's individual ROIs in early visual areas.
As above, we began our analysis with time courses extracted from predicted volumes of interest and the followed these analyses with whole-brain regression.
In initial analyses, we examined activation time courses extracted from the bilateral medial prefrontal cortex (MPFC), anterior cingulate cortex (ACC), and nucleus accumbens (NAcc) (Fig. 1), on the basis of recently reported learning-related age differences in frontal cortex and striatum (Eppinger et al., 2013; Samanez-Larkin et al., 2012).
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If this were the case, the time course extracted from the mPFC ROI during the guessing condition should exceed the baseline activity or that during observation condition at least early in the trial.
Non-neuronal contributions to the BOLD signal were removed from the unsmoothed data of each participant by linear regression of motion parameters, as well as time-courses extracted from the ventricles and the white-matter.
The extracted time course of the seed-voxel or the averaged time course extracted from all voxels within the ROI spheres was correlated with the time series of all other voxels across the whole brain, yielding a corresponding correlation coefficient (r-value) for each voxel.
For evaluation designed progress and method was using sense course extract from medical database clinical electrocardiography record Physionet.
BOLD time courses were extracted from each ROI by averaging over voxels within each region.
The underlying time courses were extracted from the set of ROIs derived from the localizer runs when applying the FDR <0.01 threshold.
To further inspect the shape characteristics of the BOLD response, the FIR time courses were extracted from the defined ROIs within SC and mPFC.
Initially, reference time courses were extracted from the neutral and sad recall condition scans for each subject, for each seed ROI.
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