| Literature DB >> 24699437 |
Tian Liu1, Yanni Chen2, Pan Lin1, Jue Wang3.
Abstract
We investigated the topologic properties of human brain attention-related functional networks associated with Multi-Source Interference Task (MSIT) performance using electroencephalography (EEG). Data were obtained from 13 children diagnosed with attention-deficit/hyperactivity disorder (ADHD) and 13 normal control children. Functional connectivity between all pairwise combinations of EEG channels was established by calculating synchronization likelihood (SL). The cluster coefficients and path lengths were computed as a function of degree K. The results showed that brain attention functional networks of normal control subjects had efficient small-world topologic properties, whereas these topologic properties were altered in ADHD. In particular, increased local characteristics combined with decreased global characteristics in ADHD led to a disorder-related shift of the network topologic structure toward ordered networks. These findings are consistent with a hypothesis of dysfunctional segregation and integration of the brain in ADHD, and enhance our understanding of the underlying pathophysiologic mechanism of this illness. © EEG and Clinical Neuroscience Society (ECNS) 2014.Entities:
Keywords: ADHD; EEG; Multi-Source Interference Task; graph theory; small-world networks
Mesh:
Year: 2014 PMID: 24699437 DOI: 10.1177/1550059414523959
Source DB: PubMed Journal: Clin EEG Neurosci ISSN: 1550-0594 Impact factor: 1.843