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Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks

机译:使用休息状态脑功能网络探索精神分裂症,脑谱系,脑谱系和双极性障碍之间的差异和重叠

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Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from resting-state fMRI using a recently proposed group information guided ICA (GIG-ICA) method, we explore the biomarkers for discriminating healthy controls, schizophrenia patients, bipolar patients, and patients with two symptom defined subsets of schizoaffective disorder, and then investigate the relationship between different groups. The results demonstrate that the discriminating regions mainly including frontal, parietal, precuneus, cingulate, supplementary motor, cerebellar, insular and supramarginal cortices perform well in distinguishing the different diagnostic groups. The results also suggest that schizoaffective disorder may be an independent disorder, although its subtype characterized by depressive episodes shares more similarity with schizophrenia.
机译:精神分裂症,精神分裂症和双相障碍分享了一些常见的症状。然而,那些障碍的生物标志物仍然不清楚。事实上,关于其与独立类别的有效性及其与精神分裂症和双相障碍的关系仍然存在争论。本文使用最近提出的组信息引导ICA(GIG-ICA)方法从休息状态下提取的大脑功能网络,我们探讨了用于歧视健康对照,精神分裂症患者,双相患者和两种症状患者的生物标志物定义了SchizoAfferceive病症的子集,然后调查不同组之间的关系。结果表明,鉴别区域主要包括正面,椎管,前肠,挤压,补充电动机,小脑,昆虫和髁上,在区分不同的诊断组时表现良好。结果还表明,脑蛋糕疾病可能是一种独立的疾病,尽管其副型通过抑郁发作的亚型与精神分裂症相似。

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