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
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