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11 September 2015 Estimating brain's functional graph from the structural graph's Laplacian
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The interplay between the brain’s function and structure has been of immense interest to the neuroscience and connectomics communities. In this work we develop a simple linear model relating the structural network and the functional network. We propose that the two networks are related by the structural network’s Laplacian up to a shift. The model is simple to implement and gives accurate prediction of function’s eigenvalues at the subject level and its eigenvectors at group level.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Abdelnour, M. Dayan, O. Devinsky, T. Thesen, and A. Raj "Estimating brain's functional graph from the structural graph's Laplacian", Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970N (11 September 2015);

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