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Each brain region for each reaction level was represented by six biological replicates.
The mean intensity of all fluorescent cells in the images for each brain region for each peptide was quantified in an unbiased manner using a semi-automated image analysis macro.
This gave n = 9 scans, and n = 3 mice/membranes per brain region for each protein (30, 31).
Scores of each brain region for each mouse were summed, and the resulting number represented the final damage score (DS).
Thus, while the overall trends or patterns are similar across brain region, for each gene within a cluster, the overall abundance within each brain region is different.
This analysis was repeated using the lesions as masks, such that the histogram parameters reflected the FA distribution outside the affected brain region for each subject.
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Differential regression analysis was utilized to ascertain brain regions for each alexithymia subscale.
Inspection of the pdfs reveals marked differences among different brain regions for each condition.
In this regard, functional connectivity was estimated by calculating the Pearson's correlation between the mean time series of each pair of brain regions for each subject.
Pearson's correlation coefficients were computed between each pair of brain regions for each subject.
This leaves researchers with gene expression data from multiple brain regions for each subject.
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