Skip to main content
. 2024 Aug 5;8(9):1142–1161. doi: 10.1038/s41551-024-01242-2

Extended Data Fig. 6. How neurotransmitter systems can reshape the energy landscape of the human brain, for alternative operationalisations of network control theory.

Extended Data Fig. 6

Heatmaps show how each receptor/transporter reshapes the average cost of reaching a given cognitive brain state from all other states, as a percentage of transitions to each state that are facilitated, when compared against a null distribution of randomly rotated maps with preserved spatial autocorrelation and the same receptor/transporter density levels, but occurring at different neuroanatomical locations. (a) For network control with time horizon time horizon T = 3 and network normalisation factor c = 0.01 × |λ(A)max|; (b) for network control with all NeuroSynth maps normalised to unit Euclidean norm. Source data are provided as a Source Data file.

Source data