Estimating brain's functional graph from the structural graph's Laplacian

F. Abdelnour; M. Dayan; O. Devinsky; T. Thesen; A. Raj

doi:10.1117/12.2203566

11 September 2015 Estimating brain's functional graph from the structural graph's Laplacian

F. Abdelnour, M. Dayan, O. Devinsky, T. Thesen, A. Raj

Proceedings Volume 9597, Wavelets and Sparsity XVI; 95970N (2015) https://doi.org/10.1117/12.2203566
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

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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