網(wǎng)絡(luò)成癮患者神經(jīng)遞質(zhì)的腦電超慢漲落研究
[Abstract]:Objective: to detect the changes of neurotransmitters in the brain of hospitalized teenagers with Internet addiction by using the ultra-slow fluctuation technique of EEG, which is helpful to reveal the physiological factors of Internet addiction and to provide some objective indexes for the diagnosis and curative effect judgment of Internet addiction in clinic. Methods: symptom Checklist (symptom Checklist) was used to detect the adolescent patients with Internet addiction who met the diagnostic criteria of Dow's Internet addiction in Beijing military region General Hospital. Then the patients with Internet addiction were examined by ML2001 EEG ultra-slow fluctuation analyzer (produced by Beijing Tongren Optoelectronic Technology Company) before receiving psychotherapy (within one week of admission). It takes about an hour to complete the whole inspection. Firstly, the related indexes of symptom Checklist for Internet Addiction patients and the national youth norm were statistically analyzed by t test. Then the obtained EEG signals are analyzed by ordinary electroencephalogram (EEG). Finally, the EEG signals are analyzed by window setting, spectrum analysis, dominant spectrum extraction, space-time fine structure and so on, and then the test data are converted on the computer and processed with FoxPro6.0 database software. Results: the results of SCL- 90 scale in patients with Internet addiction showed that somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobia, paranoid ideation, psychosis, total mean score and the number of positive items were significantly higher than those of the national youth norm (P 0.05). 10Hz is the main wave in patients with Internet addiction, and wave energy is mainly distributed on 10Hz. Deep inhibition is the main brain function in patients with Internet addiction. The contents of neurotransmitters r-aminobutyric acid, dopamine, 5-hydroxytryptamine, norepinephrine and glutamic acid in the brain of patients with Internet addiction were significantly lower than the normal value (P 0.05), and the contents of inhibitory transmitters were significantly higher than the normal value (P 0.05). Conclusion: (1) there are physical and mental symptoms such as obsessive-compulsive, depression, anxiety and so on. (2) the brain function of Internet addicts is mainly deeply suppressed. (3) the 偽 wave of Internet addicts tends to slow down. (4) the contents of glutamic acid, dopamine, raminobutyric acid, 5-hydroxytryptamine and norepinephrine in the brain of Internet addicts are lower than those of normal subjects, and the contents of inhibitory transmitters are higher.
【學位授予單位】:大連醫(yī)科大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:R749.99
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