A Riemannian Revisiting of Structure-Function Mapping Based on Eigenmodes.

ABSTRACT: Understanding the link between brain structure and function may not only improve our knowledge of brain organization, but also lead to better quantification of pathology. To quantify this link, recent studies have attempted to predict the brain's functional connectivity from its structural connectivity. However, functional connectivity matrices live in the Riemannian manifold of the symmetric positive definite space and a specific attention must be paid to operate on this appropriate space. In this work we investigated the implications of using a distance based on an affine invariant Riemannian metric in the context of structure-function mapping. Specifically, we revisit previously proposed structure-function mappings based on eigendecomposition and test them on 100 healthy subjects from t

SUBMITTER: Deslauriers-Gauthier S 

PROVIDER: S-EPMC10406294 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature