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

机译:多尺度熵方法表征早发性精神分裂症的静息状态脑活动复杂性

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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:早发性精神分裂症(EOS)是与大脑活动变化相关的严重精神疾病。但是,仍然缺乏EOS中大脑活动的复杂性。为了解决此问题,使用了多尺度样本熵(MSE)方法来研究脑信号复杂性在EOS中的作用。我们招募了39例EOS患者(12至18岁),31例年龄和性别相匹配的健康对照者。在上颞沟和楔骨中观察到降低的血氧水平依赖性(BOLD)复杂性。在中额额回,上部分叶,前突神经和扣带回中观察到BOLD的复杂性增加。此外,我们发现扣带回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发病机理至关重要。

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