A Review on Drug Addiction Diagnosis Methods Using Brain Activity and Structure Based on Electroencephalogram Signals
Subject Areas : International Journal of Smart Electrical Engineering
Atefeh Tobeiha
1
,
Neda Behzadfar
2
*
,
Mohammad Reza Yousefi
3
,
Ghzanfar Shahgholian
4
,
Homayoun Mahdavinasab
5
1 - Department of Electrical Engineering, Na. C., Islamic Azad University, Najafabad, Iran
2 - Department of Electrical Engineering, Na. C., Islamic Azad University, Najafabad, Iran
3 - Faculty of Humanities, Islamic Azad University of Bonab, Iran
4 - Department of Electrical Engineering, Na. C., Islamic Azad University, Najafabad, Iran
5 - Department of Electrical Engineering, Na. C., Islamic Azad University, Najafabad, Iran
Keywords: addiction, electroencephalogram, feature extraction, power spectrum, P300 component,
Abstract :
Heroin is an industrial narcotic whose use in the short and long term leads to addiction. Heroin addiction has different effects on the human body. Among the negative effects created is the effect on human brain activity. Monitoring human brain activity is done using brain signal or electroencephalogram (EEG). EEG is an efficient method to examine the functional and cognitive activity of the brain, especially with the changes made in the brain of heroin addiction. Various researches have been done to investigate the changes made on EEG. However, a review research that can summarize the researches has not been presented so far. This paper has been done for reviewing previous researches in examining the changes made on EEG. The results of the review show a decrease in the power of the alpha sub-band in the T6 channel, a significant difference between the ratio of the power in the beta sub-band and the alpha sub-band. Also, alpha sub-band neural activity in people who quit heroin addiction is in parietal (BA3 and BA7), frontal (BA4 and BA6) and limbic (BA24). Also, the results show that the duration of heroin use has an effect on the EEG.
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