GRAPH THEORY CHARACTERIZATION OF RESTING STATE NETWORKS AMONG DIFFERENT MACRO-STATES IN FRONTO-TEMPORAL DEMENTIA

COUTO BLAS; RITCHER FABIAN ; SEDEÑO LUCAS; GARCÍA CORDERO INDIRA; BARTTFELD PABLO; SIGMAN MARIANO; MELLONI MARGHERITA; MANES FACUNDO; IBAÑEZ AGUSTIN

Congreso; Society for Social Neuroscience; 2013

Functional connectivity analyses allow the characterization of relationships between brain regions anatomically distant considered to be linked within functional networks. This has been applied during resting states, of which mind wandering or rest is the more widely used. Further,it has been shown in formative the implementation of graph theory metrics from those networks in terms of information transfer and segregation between regions. Here we assessed graph metrics of different networks of bvFTD patients, known to have alterations infunctional connectivity related to degeneration of the salience network. By MRI analysis, we found that the lower efficiency and mean segregation of fronto-temporal dementia patients networks stands for global changes in the architecture of functional connectivity.