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Abstract #0688

On the Reliability of Connectome Harmonic Decompositions of Human Brain Structure and Function

Brian S Winston1, Hoyt Patrick Taylor2, Pew-Thian Yap2, Frederick S Barrett1, and James J Pekar3,4
1Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, United States, 2Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, United States, 3F.M. Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Radiology, Johns Hopkins University, Baltimore, MD, United States


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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