File:Identification of a smooth, monotonic relationship between excitation-inhibition-ratio and functional connectivity to fit brain network models.webp

English: "a Tuning curves for a reduced model with only two nodes, but otherwise identical to the 379-nodes BNM. FC (that is, correlation) between the two nodes increased smoothly and monotonically as a function of their E/I-ratio wLRE1,2wFFI1,2. The relationship between E/I-ratio and FC persisted when the strength of noise σ (upper panel; Eqs. 5 and 6) and the strength of structural coupling Cij (lower panel; Eqs. 1 and 2) were modulated for test purposes (both are fixed parameters during the fitting of the full 379-nodes model). b Fitting results for the full 379-nodes model for one exemplary FC. Empirical (upper triangular portion of the matrix) versus simulated (lower triangular portion of the matrix) FC and joint distributions without E/I-tuning (upper panel) and with E/I-tuning (lower panel). c Pearson correlations and root-mean-square errors between all N = 650 empirical and simulated FCs for three different model variants: EI-tuning (the tuning algorithm applied on both wLREij and wFFIij), E-tuning (the tuning algorithm applied only on wLREij), original (tuning of a scalar global coupling scaling factor to rescale Cij)." Study featured in '2023 in science' here.