DocumentCode :
1895620
Title :
Correlation Properties Applied Detrended Fluctuation Analysis Method for Cue-induced EEG in Drug Dependence
Author :
Jing, Peng ; Bo, Yang ; Xu, Zhao ; Hong, Liyong
Author_Institution :
Sch. of Life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
1
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
446
Lastpage :
450
Abstract :
The main aim of this study is to evaluate temporal correlation properties of cue-induced EEG in drug dependence using detrended fluctuation analysis (DFA). DFA method is used to examine the short-term and long-term scaling exponents of EEG from 12 channels in 48 drug addicts. The differences of temporal correlation characteristics of EEG are compared between primary addiction group and relapsing addiction group under given conditions of drug-related pictures(or video) stimulus, neutral view pictures stimulus and black screen (resting state). Our results in the scaling exponents of EEG show statistically significant differences between drug-related stimulus and other stimulus. The scaling exponents manifest significant contrast between primary addiction group and re-addiction group. These findings reveal temporal correlation of EEG from primary addiction group is stronger than re-addiction group in drug-related stimulus. It is implied that by using DFA method, correlation properties of cue-induced EEG may be quantitatively and qualitatively studied and be used to be a potential application for investigating the impact of contextual stimuli on drug dependence.
Keywords :
drugs; electroencephalography; medical signal processing; statistical analysis; DFA; cue-induced EEG; detrended fluctuation analysis method; drug dependence; drug-related picture stimulus; neutral view pictures stimulus; primary addiction group; relapsing addiction group; temporal correlation properties; Brain; Correlation; Doped fiber amplifiers; Drugs; Electroencephalography; Fluctuations; Physiology; Addiction; Correlation Properties; Cue-induced; Detrended Fluctuation Analysis (DFA); Drug-related; Electroencephalography (EEG);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.189
Filename :
6187882
Link To Document :
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