Department of Neurosurgery, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Zhejiang, China.
Department of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Zhejiang, China.
Med Biol Eng Comput. 2019 Jun;57(6):1285-1295. doi: 10.1007/s11517-019-01953-8. Epub 2019 Feb 9.
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 (10-14 days) 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. Graphical abstract Intracerebral hemorrhage (ICH) also known as cerebral bleed, a major type of stroke, would significantly affect brain structure and function. Using multimodal neuroimaging, Zhang et al. investigate the ICH-related dysconnectivity in structural and functional brain networks and show a significantly disintegrated structural brain network with a preserved functional network topology in subacute phase (10-14 days).
新出现的证据揭示了广泛的中风引起的大脑连接异常,导致异常的网络组织。然而,结构连接和功能连接研究之间的连接异常存在明显差异。在这项工作中,从 26 名亚急性(10-14 天)脑出血(ICH)患者和 20 名匹配的健康参与者(经过头部运动拒绝后患者/对照组为 21/18)获得了静息状态 fMRI 和结构扩散张量成像。图论方法被应用于多模态脑网络,以定量比较两组之间的拓扑性质。在两组的结构和功能脑网络中都发现了明显的小世界特性。然而,患者组的结构脑网络中存在显著的全局整合缺陷,与 ICH 更严重的临床表现相关。关于与 ICH 相关的节点缺陷,在与运动相关的区域中主要检测到节点间连接性降低。此外,在功能脑网络中,ICH 患者和健康参与者之间的拓扑性质大多相似。除了多模态脑网络中突出的小世界结构外,ICH 患者的结构和功能脑网络之间存在可分离的变化。这些发现强调了使用异常网络指标作为评估 ICH 严重程度的神经生物标志物的潜力。
脑出血(ICH)也称为脑溢血,是中风的主要类型之一,会严重影响大脑结构和功能。Zhang 等人使用多模态神经影像学研究了结构和功能脑网络中的 ICH 相关连接异常,并在亚急性期(10-14 天)显示出明显脱节的结构脑网络,具有保留的功能网络拓扑。