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Evidence for Accelerated Decline of Functional Brain Network Efficiency in Schizophrenia

机译:精神分裂症的功能性脑网络效率加速下降的证据。

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摘要

Previous work suggests that individuals with schizophrenia display accelerated aging of white matter integrity, however, it is still unknown whether functional brain networks also decline at an elevated rate in schizophrenia. Given the known degradation of functional connectivity and the normal decline in cognitive functioning throughout healthy aging, we aimed to test the hypothesis that efficiency of large-scale functional brain networks supporting overall cognition, as well as integrity of hub nodes within those networks, show evidence of accelerated aging in schizophrenia. Using pseudo-resting state data in 54 healthy controls and 46 schizophrenia patients, in which task-dependent signal from 3 tasks was regressed out to approximate resting-state data, we observed a significant diagnosis by age interaction in the prediction of both global and local efficiency of the cingulo-opercular network, and of the local efficiency of the fronto-parietal network, but no interaction when predicting both default mode network and whole brain efficiency. We also observed a significant diagnosis by age interaction for the node degree of the right anterior insula, left dorsolateral prefrontal cortex, and dorsal anterior cingulate cortex. All interactions were driven by stronger negative associations between age and network metrics in the schizophrenia group than the healthy controls. These data provide evidence that is consistent with accelerated aging of large-scale functional brain networks in schizophrenia that support higher-order cognitive ability.
机译:先前的研究表明,精神分裂症患者的白质完整性老化加速,但是,功能性脑网络是否也以较高的速度下降仍是未知的。鉴于已知的功能连接性下降以及整个健康衰老过程中认知功能的正常下降,我们旨在检验以下假设:支持整体认知的大规模功能性大脑网络的效率以及这些网络中枢纽节点的完整性均显示出证据加速精神分裂症的衰老。使用54位健康对照者和46位精神分裂症患者的假静息状态数据,其中3个任务的任务相关信号被回归以近似静息状态数据,我们观察到在整体和局部预测中,通过年龄相互作用可以得出显着诊断耳回-神经网络的效率以及额顶网络的局部效率,但是在预测默认模式网络和全脑效率时都没有交互作用。我们还观察到通过年龄相互作用对右前岛突,左背外侧前额叶皮层和背侧扣带回皮层的结节程度进行了重要诊断。与健康对照组相比,精神分裂症组中年龄和网络指标之间更强的负相关性驱动了所有相互作用。这些数据提供的证据与精神分裂症中支持更高阶认知能力的大规模功能性大脑网络的加速老化一致。

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