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 Pekar^3,4

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

Synopsis

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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