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A multiscale cerebral neurochemical connectome of the rat brain

Fig 6

Modeling the G125×125 with an exponential distance rule (EDR) network.

(a-e) Matching graph properties between model and data as function of the λ parameter. There is no narrow common band for λ, where all properties would match closely with the data. Averages were taken over 1,000 model-generated networks for each value of λ. (a) The number of uni- and bidirectional links: M1 and M2. (b) Root-mean-square (RMS) of deviations for the ratio of the 3-motif counts between model and data. (c) RMS of deviations between the clique counts for the model and data. (d) RMS of deviations between the eigenvalues of AAT in the model and data. (e) The average local clustering coefficient in the undirected version of the graph. Dashed lines in (a) and (e) indicate values measured on the dataset. (f,g) Comparison of 3-motif counts between the dataset, EDR model with λ = 0.6, and CDR model (λ = 0). (g) Log-ratios between motif-counts. (h) Number of cliques with different sizes in the data and then the EDR and CDR network models. (i) The eigenspectrum of the co-occurrence matrix AAT.

Fig 6