Choosing the Distinguishing Frequency Feature of People Addicted to Heroin from Healthy while Resting

Addiction is a biological, psychological, and social disease. Several factors are involved in etiology, substance abuse, and addiction which interact with each other and lead to the beginning of drug use and then addiction. Heroin is an addictive drug that, by acting on the central nervous system, reduces the density of neurons in the brain and interferes with decision making. This paper examines the effects of heroin on brain function by studying the relationship between spectral strength of electroencephalogram (EEG) signal and heroin abuse. For this purpose, the resting EEG signal and cognitive activity of 15 healthy individuals and 15 heroin addicts were recorded in 16 channels in one session. The frequency range of EEG signal sub-bands was calculated separately for each individual. Welch method has been used to extract the power of EEG signal frequency sub-bands. The extracted features were examined using Mann-Whitney test and Davies-Bouldin index. The results show that the heroin-dependent group has higher power in delta (in the frontal, central and temporal regions) and theta (in all canals) than in the control group. In the heroin-dependent group, the power of alpha decreased compared to the control group. High alpha sub-bands power in the frontal, temporal and central lobes compared to other frequency sub-bands, as well as in the central, parietal and temporal lobes, the power of the second low alpha sub-band in decreased addicts. According to Davies-Bouldin, the power of the second low alpha sub-band in the T6 channel has a better power to differentiate between healthy and heroin-dependent people.