Fig. 3: Functional measurements differ from anatomy-based predictions.
From: Neural signal propagation atlas of Caenorhabditis elegans
a, Signals propagate along all paths, including indirect and recursive (coloured). Anatomical descriptions such as synapse count describe only direct paths (black). Connectome-constrained simulations are therefore used to predict signal propagation from anatomy. b, Pairs predicted from anatomy to have large downstream responses (ΔV > 0.1 V, n = 23, 454 pairs) tend to have stronger measured responses (larger ΔF/F0) than do those predicted to have small responses (ΔV < 0.1 V, n = 614 pairs). **** indicates P = 10−88, one-sided Kolmogorov–Smirnov test; whiskers indicate range. c, Bottom, measured downstream response (ΔF/F) versus anatomy-derived response (ΔV) for pairs that we observe to be functionally connected (q < 0.05, blue) and functionally non-connected (qeq < 0.05, orange). Vertical grey line is (0.1 V) for comparison with b. Top, marginal distributions (y axis is log scale). Measured functionally connected pairs are enriched for predicted ΔV > 0.1 V, compared to functionally non-connected pairs (P < 0.0001, one-sided Kolmogorov–Smirnov test). d, Agreement of measured responses to anatomy-predicted responses is shown for WT (green) and unc-31 (cyan) animals, either using weights and signs from anatomy, or when weights and signs are fitted optimally. Agreement is reported as R2 coefficient for the line of best fit: ΔF/F0 = mΔV. Perfect agreement would be R2 = 1.
