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Accordingly, each SU can construct a local conflict network graph with edges corresponding to all of the received SUs transmissions and associated weighting coefficient proportionate to the received signal strength.
From earlier studies we assumed that the conflict network was affected in children with ADHD.
Their Attention Network Model defines an alerting or vigilance network, an orientation network and an executive or conflict network.
This was confirmed by the univariate analysis for the alerting p =.404, the orienting p =.244, and the conflict network p =.165.
This affected all three networks, but the behavioral data showed that only the conflict network was less efficient in ADHD children than in control children.
The significance was retained for the alerting network (p =.011), but not the conflict network (p =.061) when we controlled for the total ASRS and IQ scores.
Similar(48)
No differences were found between the groups on RT and accuracy measures of the alerting, orienting, and conflict networks.
We suggest that this may explain why both the alerting and conflict networks are affected in the ADHD subgroup defined with affective fluctuations.
Such a complex interaction between the two networks has been illustrated in studies by Fan and collaborators and is supported by the fact that the alerting and conflict networks share brain networks [ 53, 54].
To extend the exploration of competition between the neural substrates of the alerting and conflict networks to neuroimaging of the here described subgroups would therefore be an important asset.
An Event Related Potential (ERP) study by Rodriguez [ 10] demonstrated a deviant ERP activation pattern on the alerting and conflict networks in young adults with the DSM-IV defined inattentive subtype of ADHD.
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