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Abstract #3098

How does functional brain activity depend on the underlying structural connectome? A graph signal processing perspective

Maria Giulia Preti1 and Dimitri Van De Ville1

1EPFL / University of Geneva, Geneva, Switzerland

How to integrate the information of structural connectivity and brain activity measured with magnetic resonance imaging (MRI) represents still an open question. Here, we addressed this problem by applying graph signal processing (GSP) to human brain data, aiming at exploring significant excursions of functional activity and its degree of alignment to the underlying structural connectivity. Two contrasting functional networks were highlighted: a primary sensory one, more aligned to the structure and characterized by less excursions, and a high-level cognitive one, more liberal and showing more fluctuations. This advanced framework opens new perspectives in the interpretation of the brain structure/function interplay.

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