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

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

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P300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6波[（23．32±3．30）％]、0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〈0．05]。（3）有攻击组Cz点P3潜伏期[（321±45）ms]长于非攻击组[（287±43）ms]，P，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，潜伏期、F4θ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P3潜伏期、F4θ波对男性精神分裂症患者攻击行为有较好的预测价值。

Objective The purpose of the study was to explore the cerebral electrophysiology 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 P300 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 electrophysiology predictors 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 aggression [ n = 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 P3 latency [ （ 321 ± 45 ） ins ] and significantly lower P3 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 P3 latency and F4 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 P3 latency and F4 theta relative power could be used to predict aggressive behavior in patients with schizophrenia.