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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage
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Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage

机译:多模式神经影像学研究揭示了亚急性脑出血患者的结构和功能网络之间的可解离过程

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摘要

Emerging evidence has revealed widespread stroke-induced brain dysconnectivity, which leads to abnormal network organization. However, there are apparent discrepancies in dysconnectivity between structural connectivity and functional connectivity studies. In this work, resting-state fMRI and structural diffusion tensor imaging were obtained from 26 patients with subacute (10-14days) intracerebral hemorrhage (ICH) and 20 matched healthy participants (patients/controls = 21/18 after head motion rejection). Graph theoretical approaches were applied to multimodal brain networks to quantitatively compare topological properties between both groups. Prominent small-world properties were found in the structural and functional brain networks of both groups. However, a significant deficit in global integration was revealed in the structural brain networks of the patient group and was associated with more severe clinical manifestations of ICH. Regarding ICH-related nodal deficits, reduced nodal interconnectivity was mainly detected in motor-related regions. Moreover, in the functional brain network, topological properties were mostly comparable between patients with ICH and healthy participants. Beyond the prominent small-world architecture in multimodal brain networks, there are dissociable alterations between structural and functional brain networks in patients with ICH. These findings highlight the potential for using aberrant network metrics as neural biomarkers for evaluation of the severity of ICH.
机译:新兴的证据揭示了广泛的中风诱导的大脑脱节性,这导致网络组织异常。然而,在结构连接和功能性连接性研究之间存在困扰的表现明显差异。在这项工作中,从26例亚克语(10-14天)脑内出血(ICH)和20名匹配的健康参与者(患者/对照= 21/18 = 21/18后,获得了休息状态的FMRI和结构扩散张量成像。图表理论方法被应用于多模式脑网络,以定量比较两个组之间的拓扑性质。两个群体的结构和功能性脑网络中发现了突出的小世界性质。然而,在患者组的结构脑网络中揭示了全球整合的显着缺陷,并且与ICH的更严重的临床表现有关。关于与ICH相关的节点缺陷,主要在电动机相关区域中检测到降低的节点互连性。此外,在功能性脑网络中,ICH和健康参与者患者之间的拓扑性质主要是可比的。除了多模式脑网络中突出的小世界建筑之外,ICH患者的结构和功能性脑网络之间存在可解释的改变。这些发现突出了使用异常网络度量作为神经生物标志物的可能性,以评估ICH的严重程度。

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