Although extensively studied for decades,
attention system remains an interesting challenge in
neuroscience field. The Attention Network Task (ANT)
has been developed to provide a measure of the
efficiency for the three attention components identified
in the Posner’s theoretical model: alerting, orienting and
executive control. Here we propose a study on 15 healthy
subjects who performed the ANT. We combined
advanced methods for connectivity estimation on
electroencephalographic (EEG) signals and graph theory
with the aim to identify neuro-physiological indices
describing the most important features of the three
networks correlated with behavioral performances. Our
results provided a set of band-specific connectivity
indices able to follow the behavioral task performances
among subjects for each attention component as defined
in the ANT paradigm. Extracted EEG-based indices
could be employed in future clinical applications to
support the behavioral assessment or to evaluate the
influence of specific attention deficits on Brain Computer
Interface (BCI) performance and/or the effects of BCI
training in cognitive rehabilitation applications
