Description
Date depot: 1 janvier 1900
Titre: Graph models of cortical plasticity in temporal brain networks
Directeur de thèse:
Fabrizio DE VICO FALLANI (ICM)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
The emerging area of complex networks has led to a paradigm shift in the neuroscience, though many issues remain unaddressed 1. Perhaps the most critical limitation is assuming that the way different brain regions (i.e. nodes) are functionally connected is implicitly constant (stationarity hypothesis). As a consequence, complex networks theory has been mainly applied to cross-sectional studies referring to a single point in time and the resulting characterization ultimately represented an average across spatiotemporal neural phenomena. However, recent evidence suggests that brain functional connectivity (FC) is highly variable across multiple time scales and that this non-stationarity influences the emergence of global network properties and complex brain behavior 2. In particular cortical plasticity - the ability of the human brain to adapt to new stimuli (i.e. learning) or to restore functions after damages 3 (i.e. brain lesions) - is probably one of the most fascinating, yet unknown, processes characterized by a temporally dynamic reorganization.
Doctorant.e: Obando Forero Catalina