Network communication models improve the behavioral and functional predictive utility of the human structural connectome
Caio Seguin, Ye Tian, Andrew Zalesky
Network Neuroscience | MIT PRESS | Published : 2020
The connectome provides the structural substrate facilitating communication between brain regions. We aimed to establish whether accounting for polysynaptic communication in structural connectomes would improve prediction of interindividual variation in behavior as well as increase structure-function coupling strength. Connectomes were mapped for 889 healthy adults participating in the Human Connectome Project. To account for polysynaptic signaling, connectomes were transformed into communication matrices for each of 15 different network communication models. Communication matrices were (a) used to perform predictions of five data-driven behavioral dimensions and (b) correlated to resting-st..View full abstract
Related Projects (1)
Awarded by National Health and Medical Research Council (AU)
Caio Seguin, Melbourne Research Scholarship, University of Melbourne (http://dx.doi.org/10.13039/501100000987).Andrew Zalesky, National Health and Medical Research Council (AU), Award ID: 1136649.