We performed a signed-network WGCNA (v.1.72)22 analysis using residualized expression to generate the coexpression network with neurotypical control individuals (n = 151 BAs) in a single block according to brain region. For this analysis, we filtered genes and outlier individuals with the WGCNA function goodSamplesGenes. After this, we applied additional sample filtering based on sample expression with a total z-normalized distance of 2.5 or greater from other samples. After evaluating power and network connectivity for each brain region, we selected a soft power of 12.
