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Significance maps of the brain were computed by t-tests of pairwise comparisons between relevant conditions.

Significance maps of the brain were computed by performing t-tests for pair-wise comparisons of conditions, and thresholded at p  =  0.0001 (uncorrected for multiple comparisons).

Undirected and weighted brain networks were computed by eLORETA lagged linear connectivity in 130 subjects (59 males and 71 females) within each hemisphere and in four resting state networks (Attentional Network (AN), Frontal Network (FN), Sensorimotor Network (SN), Default Mode Network (DMN)).

At the group level, whole-brain exploratory contrasts between conditions were computed by performing 1-tailed t-tests on these images, treating participants as a random effect (Supplementary Table 1).

For the parameter estimation based on human data, and were computed by fitting the model to the brain microdialysis TMZ concentrations from patients.

Functional connectivity maps were computed by using a standard seed-based whole brain correlation method.

At the end of case 100's clinical course, total brain injury is computed by summing primary, secondary and delirium which amounts to 0.5707.

Total brain volume was computed by summing gray and white matter volumes.

As Steven Quartz of the California Institute of Technology said during a recent discussion of ethics sponsored by the John Templeton Foundation, "Our brain is computing value at every fraction of a second.

The functional connectivity map of each individual was computed by averaging the BOLD time series in the ROI and then computing the Pearson's correlation coefficient between the seed average time series and those from each voxel in the brain.

Significance levels for the methylation differences between the cerebellum and other brain regions were computed via SNP-by-SNP mixed effect models in the statistical software R (http://www.r-project.org/).org/