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CJAP ›› 2020, Vol. 36 ›› Issue (5): 517-523.doi: 10.12047/j.cjap.6003.2020.110

• TECHNICAL NOTES • Previous Articles     Next Articles

Identification of the status of individual drug-administration behavior in heroin-withdrawal rats based on FrA EEG

HUANG Lei1, PAN Qun-wan2△, HU Hui-xian1, XU Xiao-yan1   

  1. 1. Department of Medical Engineering, Wannan Medical College, Wuhu 241002;
    2. Department of Physiology, Wannan Medical College, Wuhu 241002, China
  • Received:2020-01-07 Revised:2020-06-28 Published:2021-02-25

Abstract: Objective: To identify the compulsive drug-seeking behavior of the individual in the heroin-addicted rat, a novel analysis method of telemetering electroencephalogram (EEG) in the frontal association cortex (FrA) induced by heroin-dependent position preference in rats. Methods: Thirty clean-grade Wistar rats after implantation of prefrontal cortex electrodes, were randomly divided into the surgical control group (n=10) and heroin-inducing group (n=20). The heroin-induced group was subcutaneously injected with heroin 0.5 mg/(kg.d), and then increased daily by 0.25 mg/kg for seven days. The control group was injected with the same amount of normal saline at the same time. Using the CPP video system combined with electroencephalogram (EEG) wireless telemetry technology, EEG signals in FrA areas of the addicted rats were recorded simultaneously in four behaviors: white-black shuttle, black-white shuttle, black-chamber stay and white-chamber stay. The areas with EMG and other noisy signals in the original EEG were identified, and wavelet decomposition and amplitude threshold denoising pre-processing were used. The sample entropy values of EEG data and wavelet coefficients corresponding to 4 rhythm frequencies under different behavioral states standard deviation were extracted, and support vector machine algorithm (SVM) was used to achieve real-time identification of different behavioral states of heroin-addicted rats. Results: SVM real-time classification recognition rate of 20 heroin abstinence rats, which are staying in black or white chamber of video box, shuttling between black-white chambers or between white - black chambers, was about 80%. Among them, the real-time recognition rate of black-white shuttle, which is closely related to drug-seeking behavior, reached 83.88%. Conclusion: In this paper, the real-time identification method of heroin-induced obsessive-compulsive drug-seeking behavior in rats can be used as an effective method to detect the initiation and occurrence of heroin-seeking drug-seeking behavior in rats. It can be used for the clinical observation of heroin-dependent patients and the prevention of drug-seeking behavior.

Key words: heroin, conditioned place preference, rats, frontal association cortex(FrA), wavelet threshold de-noising, SVM

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