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Abstract：
UNASSIGNED: This study aimed to provide an objective means of predicting treatment responses in patients with schizophrenia using quantitative electroencephalography (qEEG) as an electrophysiological indicator. We obtained qEEG recordings from patients with schizophrenia and explored them for patterns indicative of treatment responsiveness.
UNASSIGNED: The study included 68 patients had been diagnosed with schizophrenia spectrum disorder. After retrospectively gathering demographic information, clinical data such as qEEG, Positive and Negative Syndrome Scale (PANSS), a multiple regression analysis was performed. This analysis employed baseline qEEG findings as independent variables and PANSS score changes as dependent variables to discern causal relationships.
UNASSIGNED: The mean age of the participants was 38.4 years(SD =13.73). The mean PANSS score on admission was 92.97, decreasing to 67.41 at discharge. Multiple regression analysis revealed that delta waves in T4 (β=0.346, t=3.165, p=0.002), and high-beta waves in Fp2 (β=0.231, t=2.361, p=0.021) were associated with PANSS changes in absolute power. In addition, the delta waves of O2 (β=0.250, t=3.288, p=0.002); beta waves of T3 (β=-1.463, t=-5.423, p<0.001) and O2 (β=0.551, t=3.366, p=0.001); high beta waves of Fp1 (β=0.307, t=4.026, p<0.001), T3 (β=0.855, t=4.414, p<0.001) and T6 (β=-0.838, t=-4.559, p<0.001) of absolute power using the Z-score were also related to PANSS changes. Pearson\'s correlation analysis showed that only delta waves at Cz (r= 0.246, p=0.043) in absolute power correlated with changes in the PANSS.
UNASSIGNED: We found that certain qEEG wave patterns in patients with schizophrenia prior to antipsychotic treatment were linked to PANSS changes before and after treatment. Delta waves and beta waves, primarily in the frontal and temporal regions, were found to be significantly associated with changes in PANSS scores. In the future, the qEEG indicators identified in this study could serve as electrophysiological markers for predicting antipsychotic treatment responses in patients with schizophrenia.
UNASSIGNED: The study included 68 patients had been diagnosed with schizophrenia spectrum disorder. After retrospectively gathering demographic information, clinical data such as qEEG, Positive and Negative Syndrome Scale (PANSS), a multiple regression analysis was performed. This analysis employed baseline qEEG findings as independent variables and PANSS score changes as dependent variables to discern causal relationships.
UNASSIGNED: The mean age of the participants was 38.4 years(SD =13.73). The mean PANSS score on admission was 92.97, decreasing to 67.41 at discharge. Multiple regression analysis revealed that delta waves in T4 (β=0.346, t=3.165, p=0.002), and high-beta waves in Fp2 (β=0.231, t=2.361, p=0.021) were associated with PANSS changes in absolute power. In addition, the delta waves of O2 (β=0.250, t=3.288, p=0.002); beta waves of T3 (β=-1.463, t=-5.423, p<0.001) and O2 (β=0.551, t=3.366, p=0.001); high beta waves of Fp1 (β=0.307, t=4.026, p<0.001), T3 (β=0.855, t=4.414, p<0.001) and T6 (β=-0.838, t=-4.559, p<0.001) of absolute power using the Z-score were also related to PANSS changes. Pearson\'s correlation analysis showed that only delta waves at Cz (r= 0.246, p=0.043) in absolute power correlated with changes in the PANSS.
UNASSIGNED: We found that certain qEEG wave patterns in patients with schizophrenia prior to antipsychotic treatment were linked to PANSS changes before and after treatment. Delta waves and beta waves, primarily in the frontal and temporal regions, were found to be significantly associated with changes in PANSS scores. In the future, the qEEG indicators identified in this study could serve as electrophysiological markers for predicting antipsychotic treatment responses in patients with schizophrenia.
摘要：
■本研究旨在提供一种使用定量脑电图（qEEG）作为电生理指标来预测精神分裂症患者治疗反应的客观手段。我们从精神分裂症患者获得了qEEG记录，并探索了指示治疗反应性的模式。
■该研究包括68名被诊断为精神分裂症谱系障碍的患者。在回顾性收集人口统计信息后，临床数据，如qEEG，阳性和阴性综合征量表（PANSS），进行了多元回归分析.该分析采用基线qEEG结果作为自变量，PANSS评分变化作为因变量，以辨别因果关系。
■参与者的平均年龄为38.4岁（SD=13.73）。入院时PANSS平均得分为92.97，出院时降至67.41。多元回归分析显示T4中的δ波(β=0.346,t=3.165,p=0.002),Fp2中的高β波（β=0.231，t=2.361，p=0.021）与PANSS绝对功率的变化有关。此外,O2的δ波(β=0.250,t=3.288,p=0.002);T3的β波(β=-1.463,t=-5.423,p<0.001)和O2的β波(β=0.551,t=3.366,p=0.001);Fp1的高β波(β=0.307,t=4.026,p<0.001),使用Z评分的绝对功率的T3（β=0.855，t=4.414，p<0.001）和T6（β=-0.838，t=-4.559，p<0.001）也与PANSS变化有关。Pearson的相关分析表明，只有Cz处的δ波（r=0.246，p=0.043）的绝对功率与PANSS的变化相关。
■我们发现，抗精神病药物治疗前精神分裂症患者的某些qEEG波型与治疗前后的PANSS变化有关。三角波和贝塔波，主要在额叶和颞区，被发现与PANSS评分的变化显著相关。在未来,本研究中确定的qEEG指标可作为预测精神分裂症患者抗精神病药物治疗反应的电生理标志物。
■该研究包括68名被诊断为精神分裂症谱系障碍的患者。在回顾性收集人口统计信息后，临床数据，如qEEG，阳性和阴性综合征量表（PANSS），进行了多元回归分析.该分析采用基线qEEG结果作为自变量，PANSS评分变化作为因变量，以辨别因果关系。
■参与者的平均年龄为38.4岁（SD=13.73）。入院时PANSS平均得分为92.97，出院时降至67.41。多元回归分析显示T4中的δ波(β=0.346,t=3.165,p=0.002),Fp2中的高β波（β=0.231，t=2.361，p=0.021）与PANSS绝对功率的变化有关。此外,O2的δ波(β=0.250,t=3.288,p=0.002);T3的β波(β=-1.463,t=-5.423,p<0.001)和O2的β波(β=0.551,t=3.366,p=0.001);Fp1的高β波(β=0.307,t=4.026,p<0.001),使用Z评分的绝对功率的T3（β=0.855，t=4.414，p<0.001）和T6（β=-0.838，t=-4.559，p<0.001）也与PANSS变化有关。Pearson的相关分析表明，只有Cz处的δ波（r=0.246，p=0.043）的绝对功率与PANSS的变化相关。
■我们发现，抗精神病药物治疗前精神分裂症患者的某些qEEG波型与治疗前后的PANSS变化有关。三角波和贝塔波，主要在额叶和颞区，被发现与PANSS评分的变化显著相关。在未来,本研究中确定的qEEG指标可作为预测精神分裂症患者抗精神病药物治疗反应的电生理标志物。
