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Structural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study

机译:单纯药物,初发和慢性精神分裂症患者的结构和功能性脑部异常:多模式MRI研究

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Background: Structural and functional brain abnormalities in schizophrenia (SZ) have been widely reported. However, a few studies have investigated both structural and functional characteristics in SZ patients at different stages to understand the neuropathology of SZ. Methods: In this study, we recruited 44 first-episode drug-naive SZ (FESZ) patients, 44 medicated chronic SZ (CSZ) patients, and 56 normal controls (NCs) and acquired their structural and resting-state functional magnetic resonance imaging (MRI). We then made group comparisons on structural and functional characteristics, including regional gray matter volume (GMV), regional homogeneity, amplitude of low-frequency fluctuation, and degree centrality. A linear support vector machine (SVM) combined with a recursive feature elimination (RFE) algorithm was implemented to discriminate three groups. Results: Our results indicated that the regional GMV was significantly decreased in patients compared with that in NCs; CSZ patients have more diffused GMV decreases primarily involved in the frontal and temporal lobes when compared with FESZ patients. Both FESZ and CSZ patients showed significant functional alterations compared with NCs; when compared with FESZ patients, CSZ patients showed significant reductions in functional characteristics in several brain regions associated with auditory, visual processing, and sensorimotor functions. Moreover, a linear SVM combined with a RFE algorithm was implemented to discriminate three groups. The accuracies of the three classifiers were 79.80%, 83.16%, and 81.71%, respectively. The performance of classifiers in this study with multimodal MRI was better than that of previous discriminative analyses of SZ patients with single-modal MRI. Conclusion: Our findings bring new insights into the understanding of the neuropathology of SZ and contribute to stage-specific biomarkers in diagnosis and interventions of SZ.
机译:背景:精神分裂症(SZ)的结构和功能性大脑异常已得到广泛报道。然而,一些研究已经调查了SZ患者不同阶段的结构和功能特征,以了解SZ的神经病理学。方法:在这项研究中,我们招募了44例初次使用药物的SZ(FESZ)患者,44例药物治疗的慢性SZ(CSZ)患者和56个正常对照(NC),并对其结构和静止状态功能磁共振成像( MRI)。然后,我们就结构和功能特征进行了小组比较,包括区域灰质量(GMV),区域均匀性,低频波动幅度和中心度。线性支持向量机(SVM)与递归特征消除(RFE)算法相结合,实现了三组的区分。结果:我们的结果表明,与NCs相比,患者的区域GMV显着降低;与FESZ患者相比,CSZ患者的弥散性GMV下降更多,主要涉及额叶和颞叶。与NCs相比,FESZ和CSZ患者均显示出明显的功能改变。与FESZ患者相比,CSZ患者在与听觉,视觉处理和感觉运动功能有关的几个大脑区域显示出功能特征的明显降低。此外,将线性SVM与RFE算法结合使用以区分三组。三个分类器的准确度分别为79.80%,83.16%和81.71%。在这项研究中,多模式MRI的分类器的性能优于以前对单模式MRI的SZ患者进行的判别分析。结论:我们的发现为了解SZ的神经病理学带来了新的见解,并有助于SZ的诊断和干预中特定阶段的生物标志物。

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