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Proceedings Paper

Estimating brain's functional graph from the structural graph's Laplacian
Author(s): F. Abdelnour; M. Dayan; O. Devinsky; T. Thesen; A. Raj
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Paper 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.

Paper Details

Date Published: 11 September 2015
PDF: 5 pages
Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970N (11 September 2015); doi: 10.1117/12.2203566
Show Author Affiliations
F. Abdelnour, Weill Cornell Medical College (United States)
M. Dayan, Weill Cornell Medical College (United States)
O. Devinsky, New York Univ. Langone Medical Ctr. (United States)
T. Thesen, New York Univ. Langone Medical Ctr. (United States)
A. Raj, Weill Cornell Medical College (United States)


Published in SPIE Proceedings Vol. 9597:
Wavelets and Sparsity XVI
Manos Papadakis; Vivek K. Goyal; Dimitri Van De Ville, Editor(s)

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