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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