网络成瘾者行为监控机制的电生理研究

发布时间：2019-05-24 03:18

【摘要】：网络成瘾是指个体反复过度使用网络导致的一种精神行为障碍，表现为对网络的再度使用产生强烈的欲望，停止或减少网络使用时出现戒断反应，同时可伴有精神及躯体症状。目前关于网络成瘾存在较多争议，最主要的争议就是网络成瘾究竟是不是病。关于网络成瘾的神经机制，国内外已有过很多报道。利用ERP技术研究网络成瘾的行为监控机制的研究已经有人涉猎，但尚存在一些空间可挖掘。对于网络成瘾的错误监控机制的研究，尚未见国内外有报道。因此本研究利用ERP技术对网络成瘾的行为监控机制和错误监控机制进行研究。本次实验中，所有的被试均参加两个任务：Go/Nogo任务和Flanker任务。在Go/Nogo任务中，两个ERP成分N2与P3分别反映了冲突监控及之后的反应抑制过程。而在Flanker任务中，错误反应诱发的ERN和Pe波幅，则分别反映了错误检测及之后的错误调整机制和错误处理。 目的：本研究采用ERPs技术对网络成瘾者的行为监控机制进行探讨，并通过比较网络成瘾组和正常对照组在冲突监控、错误检测神经机制上的异同，研究网络成瘾和冲突监控与抑制、错误检测与处理的关系。 方法：从北京军区总医院成瘾医学科的网络成瘾者中选取被试17名，并选取健康志愿者17名作为对照组，两组被试均排除精神病史、药物成瘾史和其他病史，视力或者矫正视力正常。ERPs记录采用Go/Nogo任务和Flanker任务。记录32导脑电后进行离线分析。测量额区(FZ)额中央区(FCZ)和中央区(CZ)的N2、P3、ERN和Pe波幅的波幅和潜伏期。行为学结果用t检验比较组别(网络成瘾组和正常对照组)差异，ERP数据则采用重复测量的多因素方差分析(RMANOVA)进行组间比较。 结果： 1.行为学数据显示在Go/Nogo任务和Flanker任务中，，网络成瘾组均表现出较快的反应时，另外在Go/Nogo任务中，网络成瘾组海表现出较高的错误率； 2.网络成瘾组组的N2、P3波幅较正常对照组均有显著差异（F_(1,27)=4.997, p=0.034；F_(1，24)=6.164，p=0.020），而二组被试的N2、P3潜伏期则较正常对照组均没有显著性差异（P＞0.05）。 3.网络成瘾组诱发的ERN的波幅比正常对照组的波幅更小，有显著性差异（F_(1,30)=5.396，P=0.037），两组的Pe波幅较正常组无显著性差异（P＞0.05）。网络成瘾组的ERN和Pe的潜伏期均无显著性差异（P＞0.05） 结论： 1.网络成瘾组在冲突监控方面和对冲突信息的深加工方面均存在显著性差异；在错误监控方面存在显著性差异。 2.网络成瘾组在本研究中的Go/Nogo实验中，表现为N2波幅较正常对照组的减弱和P3波幅较正常对照组的增强，揭示了网络成瘾者可能存在冲突监控能力的障碍，在面对冲突事件时，不能很好的完成冲突的监控和抑制； 3.网络成瘾组在本研究中的FLANKER实验中，表现为ERN波幅的的显著性降低，这揭示了，网络成瘾组对错误监控的能力降低。
[Abstract]:Internet addiction refers to a kind of mental and behavioral disorder caused by repeated overuse of the Internet, which is manifested in a strong desire for the reuse of the Internet, stopping or reducing the withdrawal reaction when using the Internet, and can be accompanied by mental and physical symptoms. At present, there is a lot of controversy about Internet addiction, the most important dispute is whether Internet addiction is a disease or not. There have been many reports about the neural mechanism of Internet addiction at home and abroad. Some people have dabbled in the study of behavior monitoring mechanism of Internet addiction by using ERP technology, but there is still some space to be excavated. The research on the error monitoring mechanism of Internet addiction has not been reported at home and abroad. Therefore, this study uses ERP technology to study the behavior monitoring mechanism and error monitoring mechanism of Internet addiction. In this experiment, all the subjects participated in two tasks: Go/Nogo task and Flanker task. In the Go/Nogo task, the two ERP components N2 and P3 reflect the conflict monitoring and the subsequent reaction inhibition process, respectively. In Flanker task, the ERN and Pe amplitudes induced by error response reflect error detection, error adjustment mechanism and error handling, respectively. Objective: in this study, ERPs technique was used to explore the behavior monitoring mechanism of Internet addicts, and the similarities and differences of conflict monitoring and error detection neural mechanism between Internet addiction group and normal control group were compared. The relationship between Internet addiction, conflict monitoring and suppression, error detection and processing was studied. Methods: 17 Internet addicts were selected from the Department of Addiction Medicine in Beijing military region General Hospital, and 17 healthy volunteers were selected as the control group. Both groups excluded the history of mental illness, drug addiction and other medical history. The visual acuity or corrected visual acuity was normal. Go/Nogo task and Flanker task were used to record ERPs. The off-line analysis was performed after recording 32 EEG. The amplitudes and latencies of (FCZ) in the central area of (FZ) and N2, P3, ern and Pe in the central area of (CZ) were measured. The behavioral results were compared by t test (Internet addiction group and normal control group), while ERP data were compared by repeated multivariate variance analysis (RMANOVA). Result: 1. Behavioral data showed that in Go/Nogo task and Flanker task, the Internet addiction group showed faster response, in addition, in the Go/Nogo task, the Internet addiction group showed a high error rate. 2. The amplitude of N2 and P3 in the Internet addiction group was significantly different from that in the normal control group (F1, 27) = 4.999, p 鈮

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