title: Disturbed connectivity of EEG functional networks in alcoholism: a graph-theoretic analysis.
abstract: Generally, an alcoholic's brain shows explicit damage. However, in cognitive tasks, the correlation between the topological structural changes of the brain networks and the brain damage is still unclear. Scalp electrodes and synchronization likelihood (SL) were applied to the constructions of the EGG functional networks of 28 alcoholics and 28 healthy volunteers. The graph-theoretic analysis showed that in cognitive tasks, compared with the healthy control group, the brain networks of alcoholics had smaller clustering coefficients in β1 bands, shorter characteristic path lengths, increased global efficiency, but similar small-world properties. The abnormal topological structure of the alcoholics may be related to the local-function brain damage and the compensation mechanism adopted to complete tasks. This conclusion provides a new perspective for alcohol-related brain damage.
authors.affiliation: College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, People's Republic of China.
authors.forename: Rui
authors.initials: R
authors.lastname: Cao
authors.affiliation: College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, People's Republic of China.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Wu
authors.affiliation: College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, People's Republic of China.
authors.forename: Haifang
authors.initials: H
authors.lastname: Li
authors.affiliation: College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, People's Republic of China.
authors.forename: Jie
authors.initials: J
authors.lastname: Xiang
authors.affiliation: College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, People's Republic of China.
authors.forename: Junjie
authors.initials: J
authors.lastname: Chen
mesh_terms: D000437:Alcoholism / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology*; D000465:Algorithms; D001921:Brain / Q000503:physiopathology*; D003072:Cognition Disorders / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology*; D003198:Computer Simulation; D063132:Connectome / Q000379:methods; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*
keywords: EEG; alcoholic; brain functional network; graph theory