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11 September 2015 Estimating brain's functional graph from the structural graph's Laplacian
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Abstract
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.
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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); https://doi.org/10.1117/12.2203566
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