关键词: connectivity networks neuroimaging neuromodulation schizophrenia

Mesh : Humans Brain / diagnostic imaging pathology physiopathology Cerebral Cortex / diagnostic imaging pathology physiopathology Connectome Magnetic Resonance Imaging Nerve Net / diagnostic imaging physiopathology pathology Schizophrenia / diagnostic imaging physiopathology pathology

来  源:   DOI:10.1093/schbul/sbae003   PDF(Pubmed)

Abstract:
OBJECTIVE: There is a huge heterogeneity of magnetic resonance imaging findings in schizophrenia studies. Here, we hypothesized that brain regions identified by structural and functional imaging studies of schizophrenia could be reconciled in a common network.
METHODS: We systematically reviewed the case-control studies that estimated the brain morphology or resting-state local function for schizophrenia patients in the literature. Using the healthy human connectome (n = 652) and a validated technique \"coordinate network mapping\" to identify a common brain network affected in schizophrenia. Then, the specificity of this schizophrenia network was examined by independent data collected from 13 meta-analyses. The clinical relevance of this schizophrenia network was tested on independent data of medication, neuromodulation, and brain lesions.
RESULTS: We identified 83 morphological and 60 functional studies comprising 7389 patients with schizophrenia and 7408 control subjects. The \"coordinate network mapping\" showed that the atrophy and dysfunction coordinates were functionally connected to a common network although they were spatially distant from each other. Taking all 143 studies together, we identified the schizophrenia network with hub regions in the bilateral anterior cingulate cortex, insula, temporal lobe, and subcortical structures. Based on independent data from 13 meta-analyses, we showed that these hub regions were specifically connected with regions of cortical thickness changes in schizophrenia. More importantly, this schizophrenia network was remarkably aligned with regions involving psychotic symptom remission.
CONCLUSIONS: Neuroimaging abnormalities in cross-sectional schizophrenia studies converged into a common brain network that provided testable targets for developing precise therapies.
摘要:
目的:在精神分裂症研究中,磁共振成像的发现存在巨大的异质性。这里,我们假设通过精神分裂症的结构和功能成像研究确定的大脑区域可以在一个共同的网络中进行协调.
方法:我们系统回顾了文献中评估精神分裂症患者大脑形态或静息状态局部功能的病例对照研究。使用健康的人类连接体(n=652)和经过验证的技术“坐标网络映射”来识别精神分裂症中受影响的常见大脑网络。然后,我们通过从13项荟萃分析中收集的独立数据检验了该精神分裂症网络的特异性.该精神分裂症网络的临床相关性是在药物的独立数据上进行测试的。神经调节,和脑部病变。
结果:我们确定了83项形态学研究和60项功能研究,包括7389名精神分裂症患者和7408名对照受试者。“坐标网络映射”表明,尽管萎缩和功能障碍坐标在空间上彼此相距遥远,但它们在功能上与公共网络相连。把所有143项研究放在一起,我们确定了在双侧前扣带皮质中具有枢纽区域的精神分裂症网络,脑岛,颞叶,和皮质下结构。基于来自13项荟萃分析的独立数据,我们发现,这些中枢区域与精神分裂症的皮质厚度变化区域特别相关。更重要的是,该精神分裂症网络与涉及精神病性症状缓解的区域非常吻合.
结论:精神分裂症横断面研究中的神经影像学异常聚集在一个共同的大脑网络中,为开发精确治疗提供了可测试的目标。
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