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Resting-State Brain Activity Complexity in Early-Onset Schizophrenia Characterized by a Multi-scale Entropy Method

机译:休息状态大脑活动复杂性早熟精神分裂症,其特征在于多尺度熵方法

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Early-onset schizophrenia (EOS) is a severe mental illness associated with changes of brain's activity. However, the complexities of brain activity in EOS are still lacking. To address this issue, a multi-scale sample entropy (MSE) method was used to investigate the role of brain signal complexity in EOS. We recruited 39 patients with EOS (age from 12 to 18), 31 age- and sex-matched healthy controls. Reduced blood-oxygen-level-dependent (BOLD) complexity was observed in the superior temporal sulcus and cuneus. Increased BOLD complexity was observed in the middle frontal gyrus, superior partial lobule, precuneus and cingulate gyrus. Furthermore, we found the complexity changes in cingulate gyrus were associated with clinical symptoms of schizophrenia. These results suggested that the changes of complexity are crucial to understand the pathomechanism of schizophrenia.
机译:早期精神分裂症(EOS)是与大脑活动变化有关的严重精神疾病。然而,EOS中大脑活动的复杂性仍然缺乏。为了解决这个问题,使用多尺度样本熵(MSE)方法来研究大脑信号复杂性在EOS中的作用。我们招募了39名EOS(年龄从12〜18岁),31名年龄和性别匹配的健康控制。在优越的颞沟和咀腔中观察到降低血氧水平依赖性(大胆)复杂性。在中正面的转象,优异的部分小叶,前叶和铰接回旋中观察到增加大胆复杂性。此外,我们发现Cingulate Gyrus的复杂性变化与精神分裂症的临床症状有关。这些结果表明复杂性的变化对于了解精神分裂症的土地机制至关重要。

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