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Abstract #4173

Analyzing the association between brain network topological parameters and intellectual performance

Gustavo Pamplona 1 , Grson Santos Neto 2 , Sara Rosset 2 , and Carlos Ernesto Garrido Salmon 1

1 Department of Physics, FFCLRP - USP, Ribeiro Preto, So Paulo, Brazil, 2 FMRP - USP, Ribeiro Preto, So Paulo, Brazil

It is known that multiple brain areas, even to an individual at rest, work synchronously even if they are anatomically separated, suggesting functional and structural connections. In this way, our brain can be considered a complex network, in which nodes can be the different areas and edges can be the measurements of functional connectivity between time series of the magnetic resonance signal of each area. In this study, we purpose to analyze the relationship between network topological parameters and intellectual performance, using magnetic resonance images and considering weighted and binary functional connectivity networks.

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