男性精神分裂症患者攻击行为与脑电图频谱分析及事件相关电位P300的相关性研究

目的 探讨精神分裂症患者攻击行为的脑电生理学预测因子.方法 收集30对有或无攻击行为的男性精神分裂症患者的脑电图频谱分析结果、事件相关电位P＜,300＞测量资料,进行比较和分析,考察影响患者攻击行为的脑电生理学指标.结果 (1)两组简明精神病量表总分及各因子分的差异均无统计学意义(P＞0.05).(2)有攻击组(30例)右侧前额区8波(23.32±3.30)%]、θ波(18.22±2.84)%]和右侧额区(F4)(19.04±3.30)%]和前颞区θ波的相对功率(17.90±3.29)%]均大于非攻击组30例;分别为(21.23±3.54)%、(16.54±1.86)%、(17.43±1.98)%、(16.22±1.80)%;P＜0.5].(3)有攻击组Cz点P<,3>潜伏期(321±45)ms]长于非攻击组(287±43)ms],P<,3>波幅(3.4±1.6)μV]低于非攻击组(4.8±2.2)μV],差异均有统计学意义(P＜0.05).(4)P<,3>潜伏期、F<,4>θ波依次进入回归方程.根据偏回归系数建立的Logistic回归方程总正确预测率为73.3%.结论 P<,3>潜伏期、F<,4>θ波对男性精神分裂症患者攻击行为有较好的预测价值.

Electroencephulography power spectrum analysis and the event-related potential P300 in male schizophrenic patients with aggression

Objective The purpose of the study was to explore the cerebral electrophysiolngy predictor of aggression in schizophrenic patients. Methods Thirty pairs of schizophrenic patients with and without aggression were involved. The electroencephalography power spectrum analysis and event-related potential P<,300> were used to assess the brain electrophysiological status, and the Brief Psychiatry Rating Scale(BPRS) to assess the symptom. Logistic regression was used to select the cerebral electrophysiolog ypredictors of aggression. Results (1) There were no significant differences in the Brief Psychiatric Rating Scale total score and subscale scores between two groups ( P ＞ 0.05 ). (2) The patients with aggression ( n =30 ) had significantly more relative power of delta and theta in the right prefrontal region, relative theta power in the right frontal and antero-temporal regions( 23.32±3.30 ) %, ( 18.22 ± 2.84 ) %, ( 19.04 ±3.30)%, ( 17.90 ± 3.29)% ] as compared with ones without aggressionn = 30; (21.23 ± 3.54)%,(16.54±1.86)%, (17.43 ± 1.98)%, (16.22 ± 1.80)%] (P＜0.05). (3) The patients with aggression showed significantly longer P<,3> latency(321 ± 45 )ms] and significantly lower P<,3> amplitude(3.4 ± 1.6) μV ] at Cz as compared with patients without aggression(287 ±43)ms; (4.8±2.2) μV](P ＜ 0.05 ). (4)The P<,3> latency and F<,4> theta relative power were entered into the Logistic regression　equation in the backward stepwise regression, with the total predictive accuracy of this equation of 73.3%.Conclusion The results suggest that P<,3> latency and F<,4> theta relative power could be used to predic taggressive behavior in patients with schizophrenia.