ABSTRACT
BACKGROUND: Decreased P300 amplitude is one of the most consistent findings in patients with schizophrenia. However, whether prolonged P300 latency occurs in patients with schizophrenia, especially first-episode schizophrenia (FES) patients, remains controversial. METHODS: A meta-analyses of P300 aberration in FES patients and healthy control(HC) group was conducted. The meta-regression analysis was performed using a random effects model. The pooled standardized effect size (PSES) was calculated as the division of the difference between the means of the two groups by the common standard deviation. RESULTS: A total of 569 FES patients and 747 HCs were included in this meta-analysis. P300 amplitude was significantly reduced (PSESâ=â-0.83, 95% CI: -1.02-0.65, Pâ=â0.00001) and P300 latency was delayed significantly in FES patients (PSESâ=â-0.48, 95% CI: 0.14-0.81, Pâ=â0.005). The meta-regression analysis showed that task difficulty was a source of heterogeneity. CONCLUSIONS: The meta-analysis confirms that disrupted information processing is found in FES patients, which is manifested by smaller P300 amplitude and delayed P300 latency.
Subject(s)
Event-Related Potentials, P300 , Schizophrenia/physiopathology , Case-Control Studies , Female , Humans , Male , Psychiatric Status Rating Scales , Regression AnalysisABSTRACT
OBJECTIVE: To explore the diagnostic application of receiver operating characteristic (ROC) curve of P300 amplitude and latency in schizophrenia. METHODS: ROC curve of P300 amplitude and latency was plotted from 91 first episode schizophrenia (FES) and 141 normal controls (NC). Youden's index and distance were calculated in ROC curve to determine the optimal cutoff point of P300 amplitude and latency for schizophrenic diagnosis. Then the subjects were layered by gender and age for improved diagnostic accuracy. RESULTS: The area under ROC curve for P300 amplitude for predicting schizophrenia was 0.746 (P < 0.001), while P300 latency showed poor power in predicting schizophrenia (P = 0.373). The optimal cutoff point of P300 amplitude was 5.097 µV with a sensitivity of 80.14% and a specificity of 63.74%. After gender and age stratification, Youden' s index was enhanced in all 5 subgroups (from 1.8% to 14.88%) and the sensitivities of corresponding cutoff were enhanced obviously in subgroups of males (25.01%), ≤ 25 years (22.22%) and >40 years (28.80%) patients. CONCLUSION: P300 amplitude has certain values in schizophrenic diagnosis. Gender and age stratification may enhance the diagnostic efficiency of ROC curve in the diagnosis of frequent schizophrenia.