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Correlation of symptom clusters of schizophrenia with absolute powers of main frequency bands in quantitative EEG

机译:定量脑电图中精神分裂症症状群与主频带绝对功率的相关性

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Background Research of QEEG activity power spectra has shown intriguing results in patients with schizophrenia. Different symptom clusters have been correlated to QEEG frequency bands. The findings have been to some extent inconsistent. Replication of the findings of previous research is thus an important task. In the current study we investigated the correlations between the absolute powers of delta, theta, alpha, and beta frequency bands over the fronto-central scalp area (FC) with the PANSS subscales and the Liddle's factors in 16 patients with schizophrenia. The authors hypothesised a priori the correlations reported by Harris et al (1999) of PANSS negative subscale with delta power, Liddle's psychomotor poverty with delta and beta powers, disorganisation with delta power and reality distortion with alpha power on the midline FC. Methods The sample consisted of 16 patients with chronic schizophrenia considered as having insufficient clinical response to conventional antipsychotic treatment and evidencing a relapse. The correlations between quantitative electroencephalography (QEEG) absolute powers of delta (1.5–3.0 Hz), theta (3.0–7.5 Hz), alpha (7.5–12.5 Hz), and beta (12.5–20.0 Hz) frequency bands over the fronto-central scalp area (FC) with PANSS subscales and Liddle's factors (reality distortion, disorganisation, psychomotor poverty) were investigated. Results Significant positive correlations were found between the beta and psychomotor poverty (p Post hoc analysis revealed correlations of the same magnitude between beta and psychopathology generally over FC. Conclusion The a priori hypothesis was partly supported by the correlation of the beta and psychomotor poverty. Liddle's factors showed correlations of the same magnitude with PANSS subscales. Supplementary analysis showed beta frequency correlating non-specifically over FC with a wide range of psychiatric symptomatology in patients with schizophrenia having a relapse.
机译:QEEG活性功率谱的背景研究显示出对精神分裂症患者的有趣结果。不同的症状群已与QEEG频段相关。该发现在一定程度上不一致。因此,复制先前研究的结果是一项重要的任务。在本研究中,我们调查了16例精神分裂症患者的额中头皮面积(FC)上的delta,theta,alpha和beta频段的绝对功效与PANSS分量表和Liddle因子之间的相关性。作者先验地假设了Harris等人(1999年)报道的PANSS负子量表与三角洲权力,利德尔的精神运动性贫困与三角洲和β权力,与三角洲权力的混乱和现实扭曲与中线FC上的阿尔法权力的相关性。方法该样本由16例慢性精神分裂症患者组成,这些患者被认为对常规抗精神病药物治疗的临床反应不足,并显示复发。额心中央的增量(1.5–3.0 Hz),θ(3.0–7.5 Hz),α(7.5–12.5 Hz)和beta(12.5–20.0 Hz)频带的定量脑电图(QEEG)绝对功率之间的相关性研究了具有PANSS分量表和Liddle的因素(现实畸变,混乱,精神运动性贫困)的头皮面积(FC)。结果发现β与精神运动性贫困之间存在显着的正相关(p事后分析显示,与FC相比,β与精神病理学之间的相关性总体上相同。结论先验假设部分受β与精神运动性贫困的相关性支持。因子分析显示与PANSS子量表具有相同的相关性,补充分析显示,复发性精神分裂症患者的β频率与FC上的非特异性相关与广泛的精神症状有关。

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