Small-World Brain Functional Networks in Children With Attention-Deficit/Hyperactivity Disorder Revealed by EEG Synchrony.
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.
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China National Engineering Research Center of Health Care and Medical Devices, Xi'an Jiaotong University Branch, Xi'an, China.
Tian
T
Liu
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China National Engineering Research Center of Health Care and Medical Devices, Xi'an Jiaotong University Branch, Xi'an, China Maternal and Child Health Hospital, Xi'an, China.
Yanni
Y
Chen
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China National Engineering Research Center of Health Care and Medical Devices, Xi'an Jiaotong University Branch, Xi'an, China.
Pan
P
Lin
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China National Engineering Research Center of Health Care and Medical Devices, Xi'an Jiaotong University Branch, Xi'an, China juewang_xjtu@126.com.
Jue
J
Wang
D000293:Adolescent; D001288:Attention; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods; D002648:Child; D004569:Electroencephalography / Q000379:methods*; D058407:Electroencephalography Phase Synchronization; D005260:Female; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000503:physiopathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
ADHD; EEG; Multi-Source Interference Task; graph theory; small-world networks