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α-突触核蛋白病从前驱期到痴呆期静息态网络的代谢连通性。

Metabolic connectivity of resting-state networks in alpha synucleinopathies, from prodromal to dementia phase.

作者信息

Boccalini Cecilia, Bortolin Elisa, Carli Giulia, Pilotto Andrea, Galbiati Andrea, Padovani Alessandro, Ferini-Strambi Luigi, Perani Daniela

机构信息

School of Psychology, 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

Front Neurosci. 2022 Aug 8;16:930735. doi: 10.3389/fnins.2022.930735. eCollection 2022.

Abstract

Previous evidence suggests that the derangement of large-scale brain networks reflects structural, molecular, and functional mechanisms underlying neurodegenerative diseases. Although the alterations of multiple large-scale brain networks in Parkinson's disease (PD) and Dementia with Lewy Bodies (DLB) are reported, a comprehensive study on connectivity reconfiguration starting from the preclinical phase is still lacking. We aimed to investigate shared and disease-specific changes in the large-scale networks across the Lewy Bodies (LB) disorders spectrum using a brain metabolic connectivity approach. We included 30 patients with isolated REM sleep behavior disorder (iRBD), 28 with stable PD, 30 with DLB, and 30 healthy controls for comparison. We applied seed-based interregional correlation analyses (IRCA) to evaluate the metabolic connectivity in the large-scale resting-state networks, as assessed by [18F]FDG-PET, in each clinical group compared to controls. We assessed metabolic connectivity changes by applying the IRCA and specific connectivity metrics, such as the weighted and unweighted Dice similarity coefficients (DC), for the topographical similarities. All the investigated large-scale brain resting-state networks showed metabolic connectivity alterations, supporting the widespread involvement of brain connectivity within the alpha-synuclein spectrum. Connectivity alterations were already evident in iRBD, severely affecting the posterior default mode, attentive and limbic networks. Strong similarities emerged in iRBD and DLB that showed comparable connectivity alterations in most large-scale networks, particularly in the posterior default mode and attentive networks. Contrarily, PD showed the main connectivity alterations limited to motor and somatosensory networks. The present findings reveal that metabolic connectivity alterations in the large-scale networks are already present in the early iRBD phase, resembling the DLB metabolic connectivity changes. This suggests and confirms iRBD as a risk condition for progression to the severe LB disease phenotype. Of note, the neurobiology of stable PD supports its more benign phenotype.

摘要

先前的证据表明,大规模脑网络的紊乱反映了神经退行性疾病潜在的结构、分子和功能机制。尽管已有报道帕金森病(PD)和路易体痴呆(DLB)中多个大规模脑网络的改变,但仍缺乏一项从临床前期开始的关于连接性重构的全面研究。我们旨在使用脑代谢连接方法,研究路易体(LB)疾病谱中大规模网络的共同变化和疾病特异性变化。我们纳入了30例孤立性快速眼动睡眠行为障碍(iRBD)患者、28例稳定期PD患者、30例DLB患者和30名健康对照进行比较。我们应用基于种子的区域间相关性分析(IRCA)来评估大规模静息态网络中的代谢连接性,该连接性通过[18F]FDG-PET评估,每个临床组与对照组进行比较。我们通过应用IRCA和特定的连接性指标,如加权和未加权的骰子相似系数(DC),来评估代谢连接性变化,以分析地形相似性。所有研究的大规模脑静息态网络均显示出代谢连接性改变,支持α-突触核蛋白谱内脑连接的广泛受累。连接性改变在iRBD中已经很明显,严重影响后默认模式、注意力和边缘网络。iRBD和DLB中出现了强烈的相似性,在大多数大规模网络中表现出可比的连接性改变,特别是在后默认模式和注意力网络中。相反,PD显示主要的连接性改变仅限于运动和体感网络。目前的研究结果表明,大规模网络中的代谢连接性改变在iRBD早期阶段就已存在,类似于DLB的代谢连接性变化。这表明并证实iRBD是进展为严重LB疾病表型的风险状态。值得注意的是,稳定期PD的神经生物学支持其更良性的表型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2445/9394228/c5176776bb29/fnins-16-930735-g001.jpg

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