Research On Decision-Making Disorder Based On EEG Analysis In Heroin Addicts

Opiate, such as heroin, is a kind of addictive drug threatening public health greatly today. Drug seeking is one of the typical behavior characteristics in heroin addiction. Addiction can be considered as a maladaptive decision making behavior, because addicts will seek rewarding effect from drugs, in spite of the possibility that many aversive consequences will be induced by drug taking. Decision-making disorder might be an important cause of the development, maintenance and relapse in addiction behavior. In order to explore the neural mechanism of risk decision-making disorder in heroin addicts, we analysis the EEG between heroin addicts and normal controls based on Nonlinear dynamic analysis method and ERP. The article main work is as follows:(1) The study concerns 42 subjects of heroin addiction, and 42 normal control subjects which of age, education and gender match with heroin subjects. We calculated the correction dimension and the Kolmogorov entropy nonlinear eigenvalue of all subjects. After compared the calculation, two results of nonlinear eigenvalue of addiction group are higher than those of group and there are significant difference in two group’non-eigenvalue.(2) The gambling task is a valid predictor of various risk-taking behaviors.However, the neural underpinnings of risk processing in addiction are yet unclear.Seventeen heroin addicts(HA) and sixteen normal controls(NC) performed a simple two-choice gambling task. Behaviorally, whereas HA exhibited a riskincrease pattern, NC showed a risk-neutral pattern. During the anticipation stage,an increased stimulus-preceding negativity was elicited by high-risk compared to low-risk choices in HA and NC. Furthermore, HA as compared to NC exhibited a diminished P300 to both gains and losses.In conclusion, the study used non-linear dynamics to analyze the prefrontal areas EEG signals collected from the heroin addicted group and the normal control group when they were in the resting state. And then the study revealed the influence of the changing prefrontal areas on the ability of risk decision-making.The present event related potential(ERP) study examined electrophysiological correlates associated with different stages of risky reward processing in risk-taking behavior.