Fig. 5: Relations between disease-related gene expression and network topology.
Gene expression levels associated with six common neuropsychiatric conditions and/or comorbidities of epilepsy (attention deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, migraine, and schizophrenia) were mapped to cortical and subcortical surface templates. Spatial correlations were performed between each of these transcriptomic maps and the patterns of multivariate topological alterations in TLE and IGE across cortical and subcortical regions (n = 82) and were statistically assessed using one-tailed, non-parametric tests. In IGE, a spatial association between microarray data and multivariate topological changes was significant for expression levels of major depression disorder genes (r = 0.19, pspin = 0.015). This association, however, did not survive correction against a null distribution of effects based on selecting random genes (prand = 0.18). In TLE, network associations did not correlate with any other disease-related transcriptomic maps. HC = healthy control, IGE = idiopathic generalized epilepsy, TLE = temporal lobe epilepsy, pspin = p-value corrected against a null distribution of effects using a spatial permutation model, prand = p-value corrected against a null distribution of effects using a “random-gene” permutation model.
