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帕金森病静息状态下与步态相关的代谢协变网络。

Gait-Related Metabolic Covariance Networks at Rest in Parkinson's Disease.

机构信息

Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.

Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.

出版信息

Mov Disord. 2022 Jun;37(6):1222-1234. doi: 10.1002/mds.28977. Epub 2022 Mar 14.

Abstract

BACKGROUND

Gait impairments are characteristic motor manifestations and significant predictors of poor quality of life in Parkinson's disease (PD). Neuroimaging biomarkers for gait impairments in PD could facilitate effective interventions to improve these symptoms and are highly warranted.

OBJECTIVE

The aim of this study was to identify neural networks of discrete gait impairments in PD.

METHODS

Fifty-five participants with early-stage PD and 20 age-matched healthy volunteers underwent quantitative gait assessment deriving 12 discrete spatiotemporal gait characteristics and [ F]-2-fluoro-2-deoxyglucose-positron emission tomography measuring resting cerebral glucose metabolism. A multivariate spatial covariance approach was used to identify metabolic brain networks that were related to discrete gait characteristics in PD.

RESULTS

In PD, we identified two metabolic gait-related covariance networks. The first correlated with mean step velocity and mean step length (pace gait network), which involved relatively increased and decreased metabolism in frontal cortices, including the dorsolateral prefrontal and orbital frontal, insula, supplementary motor area, ventrolateral thalamus, cerebellum, and cuneus. The second correlated with swing time variability and step time variability (temporal variability gait network), which included relatively increased and decreased metabolism in sensorimotor, superior parietal cortex, basal ganglia, insula, hippocampus, red nucleus, and mediodorsal thalamus. Expression of both networks was significantly elevated in participants with PD relative to healthy volunteers and were not related to levodopa dosage or motor severity.

CONCLUSIONS

We have identified two novel gait-related brain networks of altered glucose metabolism at rest. These gait networks could serve as a potential neuroimaging biomarker of gait impairments in PD and facilitate development of therapeutic strategies for these disabling symptoms. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

摘要

背景

步态障碍是帕金森病(PD)的典型运动表现,也是生活质量下降的重要预测指标。PD 患者步态障碍的神经影像学生物标志物可以促进有效的干预措施来改善这些症状,这是非常必要的。

目的

本研究旨在确定 PD 患者离散步态障碍的神经网络。

方法

55 名早期 PD 患者和 20 名年龄匹配的健康志愿者接受了定量步态评估,得出 12 个离散的时空步态特征,并进行 [F]-2-氟-2-脱氧葡萄糖正电子发射断层扫描测量静息大脑葡萄糖代谢。使用多变量空间协方差方法来识别与 PD 中离散步态特征相关的代谢脑网络。

结果

在 PD 中,我们确定了两个与代谢相关的步态协变网络。第一个与平均步速和平均步长相关(步速网络),涉及额皮质相对增加和减少代谢,包括背外侧前额叶和眶额叶、岛叶、辅助运动区、腹外侧丘脑、小脑和楔前叶。第二个与摆动时间变异性和步时变异性相关(时间变异性步态网络),涉及感觉运动、上顶叶皮层、基底节、岛叶、海马、红核和中背侧丘脑的相对增加和减少代谢。与健康志愿者相比,PD 患者的两个网络表达均显著升高,与左旋多巴剂量或运动严重程度无关。

结论

我们已经确定了两个新的与静息时葡萄糖代谢改变相关的步态网络。这些步态网络可以作为 PD 步态障碍的潜在神经影像学生物标志物,有助于开发这些致残症状的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa77/9314598/02d6e899d9da/MDS-37-1222-g002.jpg

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