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Diverse functional connectivity patterns of resting-state brain networks associated with good and poor hand outcomes following stroke

机译:休息状态脑网络的不同功能连通性模式与卒中后的良好和差的差劲结果相关

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摘要

Motor stroke has been characterized by disruptions in multiple large-scale functional brain networks. However, it remains unclear whether stroke patients with good hand outcomes show different connectivity profiles within and between networks from those with poor hand outcomes. In this cross-sectional study, we recruited 52 chronic subcortical stroke patients [illness duration (mean?±?SD): 16?±?16.2 months] and 52 healthy controls from the local hospital and community from June 2010 to August 2016. We first performed independent component analysis (ICA) on resting-state fMRI data to extract fifteen resting-state networks. Then, we compared the functional connectivity within and between networks across 52 healthy controls, 26 patients with a partially paralyzed hand (PPH), and 26 patients with a completely paralyzed hand (CPH). Compared to the patients with a PPH, the patients with a CPH showed increased connectivity in the contralesional sensorimotor cortex within the contralesional sensorimotor network; the increased connectivity was negatively correlated with the performance of the paretic hand. Moreover, the patients with a CPH, compared to those with a PPH, showed decreased strengths of connectivity between the ipsilesional sensorimotor network and both the dorsal sensorimotor network and ventral visual network; the decreased strengths of connectivity were positively correlated with the performance of the paretic hand. Collectively, our findings suggest that stroke patients with different hand outcomes show distinct functional reorganization patterns in large-scale brain networks. These findings shed light on the network-level neuromechanisms that help explain why stroke survivors in the chronic stage show different hand outcomes.
机译:电机行程的特点是多种大规模功能性脑网络中断。然而,仍然尚不清楚有良好的手工成果的中风患者是否显示了来自手工结果不良的网络内和网络之间的不同连接型材。在这项横断面研究中,我们招募了52例慢性皮质卒中患者[疾病持续时间(平均值?±SD):16?±16.2个月]和2010年6月到2016年8月的当地医院和社区的52名健康控制。我们首先在休息状态FMRI数据上执行独立的分量分析(ICA)以提取十五次休息状态网络。然后,我们将网络内部和网络之间的功能连通性与52个健康对照组进行了比较,26例患有部分瘫痪的手(PPH)和26例患有完全瘫痪的手(CPH)的患者。与PPH的患者相比,CPH患者在被控传感器网络内的被控传感器皮层中的连通性增加了连接;随着静脉手的性能,增加的连接性与垂直手的性能负相关。此外,与具有PPH的人相比,CPH的患者显示了IPSINIONS SOVERIMOTOR网络之间的连接强度和背部传感器网络和腹侧视觉网络;与静脉手的性能呈正相关的连接强度与垂直手的性能呈正相关。统称,我们的研究结果表明,卒中患者不同的手工结果显示了大型脑网络中的不同功能重组模式。这些调查结果阐明了网络级神经机构,帮助解释为什么慢性阶段中风幸存者显示不同的手工结果。

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