Huang Lei, Pan Qun-Wan, Hu Hui-Xian, Xu Xiao-Yan
Department of Medical Engineering, Wannan Medical College, Wuhu 241002.
Department of Physiology, Wannan Medical College, Wuhu 241002, China.
Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2020 Sep;36(5):517-523. doi: 10.12047/j.cjap.6003.2020.110.
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. Thirty clean-grade Wistar rats after implantation of prefrontal cortex electrodes, were randomly divided into the surgical control group (=10) and heroin-inducing group (=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. 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%. 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.
为了识别海洛因成瘾大鼠个体的强迫性觅药行为，采用一种新的遥测脑电图（EEG）分析方法，该方法用于研究大鼠海洛因依赖位置偏好诱导的额叶联合皮质（FrA）的脑电图。30只植入前额叶皮质电极后的清洁级Wistar大鼠，被随机分为手术对照组（=10）和海洛因诱导组（=20）。海洛因诱导组皮下注射海洛因0.5mg/（kg·d），然后每天增加0.25mg/kg，持续7天。对照组同时注射等量的生理盐水。使用条件性位置偏好（CPP）视频系统结合脑电图（EEG）无线遥测技术，在四种行为中同时记录成瘾大鼠FrA区域的EEG信号：黑白穿梭、白黑穿梭、黑室停留和白室停留。识别原始脑电图中存在肌电图和其他噪声信号的区域，并采用小波分解和幅度阈值去噪预处理。提取不同行为状态下EEG数据的样本熵值和对应4种节律频率的小波系数标准差，采用支持向量机算法（SVM）实现对海洛因成瘾大鼠不同行为状态的实时识别。对20只处于视频箱黑或白室、在黑白室之间或白黑室之间穿梭的海洛因戒断大鼠，SVM实时分类识别率约为80%。其中，与觅药行为密切相关 的黑白穿梭实时识别率达到83.88%。本文中大鼠海洛因诱导的强迫性觅药行为实时识别方法，可作为检测大鼠觅药行为起始和发生的有效方法。它可用于海洛因依赖患者的临床观察和觅药行为的预防。
