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路易体痴呆症中多个大规模脑网络的脆弱性。

Vulnerability of multiple large-scale brain networks in dementia with Lewy bodies.

机构信息

Vita-Salute San Raffaele University, Milan, Italy.

In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

出版信息

Hum Brain Mapp. 2019 Oct 15;40(15):4537-4550. doi: 10.1002/hbm.24719. Epub 2019 Jul 19.

Abstract

Aberrations of large-scale brain networks are found in the majority of neurodegenerative disorders. The brain connectivity alterations underlying dementia with Lewy bodies (DLB) remain, however, still elusive, with contrasting results possibly due to the pathological and clinical heterogeneity characterizing this disorder. Here, we provide a molecular assessment of brain network alterations, based on cerebral metabolic measurements as proxies of synaptic activity and density, in a large cohort of DLB patients (N = 72). We applied a seed-based interregional correlation analysis approach (p < .01, false discovery rate corrected) to evaluate large-scale resting-state networks' integrity and their interactions. We found both local and long-distance metabolic connectivity alterations, affecting the posterior cortical networks, that is, primary visual and the posterior default mode network, as well as the limbic and attention networks, suggesting a widespread derangement of the brain connectome. Notably, patients with the lowest visual and attention cognitive scores showed the most severe connectivity derangement in regions of the primary visual network. In addition, network-level alterations were differentially associated with the core clinical manifestations, namely, hallucinations with more severe metabolic dysfunction of the attention and visual networks, and rapid eye movement sleep behavior disorder with alterations of connectivity of attention and subcortical networks. These multiple network-level vulnerabilities may modulate the core clinical and cognitive features of DLB and suggest that DLB should be considered as a complex multinetwork disorder.

摘要

在大多数神经退行性疾病中都发现了大规模脑网络的异常。然而,路易体痴呆症(DLB)的脑连接改变仍然难以捉摸,可能是由于该疾病的病理和临床异质性导致结果相互矛盾。在这里,我们基于大脑代谢测量(作为突触活动和密度的替代物),对大量 DLB 患者(N=72)的脑网络改变进行了分子评估。我们应用基于种子的区域间相关分析方法(p<.01,经假发现率校正)来评估静息状态下大尺度网络的完整性及其相互作用。我们发现了局部和远距离代谢连接的改变,影响了后皮质网络,即初级视觉和后默认模式网络,以及边缘和注意力网络,这表明大脑连接组普遍失调。值得注意的是,视觉和注意力认知评分最低的患者在前视觉网络区域表现出最严重的连接紊乱。此外,网络水平的改变与核心临床表现(即幻觉与注意力和视觉网络的代谢功能障碍更严重,快速眼动睡眠行为障碍与注意力和皮质下网络的连接改变)具有不同的相关性。这些多个网络水平的脆弱性可能调节了 DLB 的核心临床和认知特征,并表明 DLB 应被视为一种复杂的多网络疾病。

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