Importance of self-connections for brain connectivity and spectral connectomics
Xiao Gao, PA Robinson
Biological Cybernetics: communication and control in organisms and automata | Springer | Published : 2020
Spectral analysis and neural field theory are used to investigate the role of local connections in brain connectivity matrices (CMs) that quantify connectivity between pairs of discretized brain regions. This work investigates how the common procedure of omitting such self-connections (i.e., the diagonal elements of CMs) in published studies of brain connectivity affects the properties of functional CMs (fCMs) and the mutually consistent effective CMs (eCMs) that correspond to them. It is shown that retention of self-connections in the fCM calculated from two-point activity covariances is essential for the fCM to be a true covariance matrix, to enable correct inference of the direct total eC..View full abstract
Related Projects (1)
Awarded by Australian Research Council Center of Excellence Grant
Awarded by Australian Research Council Laureate Fellowship
This work was supported by the Australian Research Council Center of Excellence Grant CE140100007, the Australian Research Council Laureate Fellowship Grant FL1401000225, and a McKenzie Fellowship from The University of Melbourne.