An Overview of Drugs Addiction Diagnosis Methods on Brain Activity and Structure Based on Electroencephalogram Signals

Atefeh Tobeiha ¹ (Department of Electrical Engineering- Najafabad Branch, Islamic Azad University, Najafabad, Iran) Neda Behzadfar ² (Digital Processing and Machine Vision Research Center- Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mohammad Reza Yousefi ³ (Smart Microgrid Research Center- Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Homayoun Mahdavi-Nasab ⁴ (Department of Electrical Engineering- Najafabad Branch, Islamic Azad University, Najafabad, Iran)

Submited date : 2023-05-12 accepted date : 2023-10-04

Keywords: Addiction, Power Spectrum, Feature extraction, Electroencephalogram, P300 component,

Abstract :

Drug addiction causes structural and functional changes in the human brain and can be considered a chronic disease. So far, various studies have been performed to examine addiction on the brain signal, which differs in terms of method, experimental conditions, samples, and results. A review of previous studies and experimental methods is necessary to better examine the issues and challenges in the design of addiction studies. The electroencephalogram (EEG) signal, as a non-invasive instrument, has the potential to monitor the functional and cognitive activity of the brain. EEG can be used to examine the relationship between changes in the brain caused by drug use. This article will review the changes in brain signals caused by substance use as well as after quitting drugs. The results show that the use of narcotic drugs reduces attention processing and causes functional disorders and brain abnormalities. In addicted people, an increase in the activity of the beta subunit and the second alpha subunit, a delay in the event, and a decrease in the amplitude of P300 have been observed. Also, the power ratio of alpha to theta subunit has decreased in T6 and a significant difference has been observed in the power ratio between delta subunit and alpha subunit. The findings showed that people's desire and history of drug consumption affect the power of the electroencephalogram signal. The neural activity in the sub-alpha band of people who quit an addiction is also significantly weaker in the parietal (BA3 and BA7), frontal (BA4 and BA6), and limbic. 

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