INVESTIGADORES
FERNANDEZ CORAZZA Mariano
congresos y reuniones científicas
Título:
Effects of the Structural Connectivity on the Critical Transitions of Brain Functional Dynamics
Autor/es:
SAMY CASTRO; MARIANO FERNÁNDEZ CORAZZA; DEMIAN BATTAGLIA; WAEL EL-DEREDY; PATRICIO ORIO
Lugar:
Buenos Aires
Reunión:
Congreso; 2nd FALAN Congress; 2016
Institución organizadora:
Federation of Latin-American and Caribbean Societies for Neuroscience
Resumen:
Our knowledgeabout the brain structural connectivity (SC) has been significantly improvedrecently, but how it shapes the dynamic activity is still unclear.Connectome-based mean-field modeling is a valuable tool to understand therelationship between structure and dynamics. The k-core measure is a graphtheory tool that can characterize binary networks by defining sub-networks withminimum node degrees, where the smallest of such sub-networks is called thecritical k-core. Dynamic behavior of emulated resting-state activity showsbi-stability (a high and a low activity states) in a range of a global couplingstrength parameter G, depending on the initial conditions. Using theWong-Wang-Deco reduced model for each node and the realistic brain SC ofHagmann (2008), Hansen et al (2015) found a strong correlation between theactivity at the lower bi-stability gain (G−) and the criticalk-core. This suggests that the emergence of the high activity state issustained by the critical k-core. We want to address the role of the criticalk-core of the SC in shaping brain dynamics. We simulated brain dynamics in withthree types of SC models: binarized human SC, equivalent random SC, andequivalent small-world (SW) Watts-Strogratz SC. Then, the SCs were peeledremoving: (i) edges of the critical k-core, (ii) random edges, and (iii) edgesnot of the critical k-core. For all networks, we observed a strong dependencebetween the G− and the peeling of the critical k-core edges, andalmost no influence when cutting the no k-core edges. Thus, the critical k-coresubnetwork is key in sustaining the high activity state. The comparison of thepeeling process behavior along the three SCs might reveal the most importanttopological characteristics of the brain SC.
