The connectome harmonic decomposition provides a principled approach to dimensionality reduction of human brain functional data using the eigenmodes of the graph Laplacian derived from the anatomical connectome. In the present report, test-retest data from the Human Connectome Project are used to assess the reliability of the structural harmonics, and of decompositions of resting-state functional MRI data using these harmonics. For both structure and function, reliability was higher within than between subjects, and decreased with harmonic rank.
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