基于静息状态脑电图和图论的帕金森病患者的功能连接和步态冻结。

IF 3.7 2区 医学 Q1 CLINICAL NEUROLOGY
Neurorehabilitation and Neural Repair Pub Date : 2022-11-01 Epub Date: 2022-10-08 DOI:10.1177/15459683221129282
Taylor J Bosch, Arturo I Espinoza, Martina Mancini, Fay B Horak, Arun Singh
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引用次数: 1

摘要

背景:尽管许多研究表明帕金森病(PD)患者的大脑结构和功能异常,但我们对大脑结构和功能与步态冻结(FOG)的关系仍然知之甚少。脑电图图论分析可以探索PD患者脑网络结构与步态功能之间的关系。方法:记录83例PD患者(42例PDFOG+和41例PDFOG-)和42例健康对照者在开眼静息状态下的头皮EEG信号。相位滞后指数计算了不同频段的每个电极对,但我们的分析重点是theta波段,并在中额通道上进行了全局分析和节点分析。得到的连通性矩阵被转换为加权图,其结构使用强度和聚类系数测量来表征,这是我们的主要结果。结果:与健康对照相比,PD患者在theta波段的整体强度和整体聚类系数均有所增加,但中额叶结强度和中额叶聚类系数未见差异。此外,在theta波段,PDFOG+和PDFOG-在整体和中额叶淋巴结强度和整体聚类系数上没有观察到差异。然而,与PDFOG-相比,PDFOG+在theta波段表现出显著降低的额中淋巴结聚集系数。此外,FOG评分与theta波段中额叶结聚类系数呈负相关。结论:目前的研究结果支持正中额波振荡参与PD的FOG症状,以及PDFOG+中图形指标表征功能网络的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional Connectivity in Patients With Parkinson's Disease and Freezing of Gait Using Resting-State EEG and Graph Theory.

Background: Although many studies have shown abnormalities in brain structure and function in people with Parkinson's disease (PD), we still have a poor understanding of how brain structure and function relates to freezing of gait (FOG). Graph theory analysis of electroencephalography (EEG) can explore the relationship between brain network structure and gait function in PD.

Methods: Scalp EEG signals of 83 PD (42 PDFOG+ and 41 PDFOG-) and 42 healthy controls were recorded in an eyes-opened resting-state. The phase lag index was calculated for each electrode pair in different frequency bands, but we focused our analysis on the theta-band and performed global analyses along with nodal analyses over a midfrontal channel. The resulting connectivity matrices were converted to weighted graphs, whose structure was characterized using strength and clustering coefficient measurements, our main outcomes.

Results: We observed increased global strength and increased global clustering coefficient in people with PD compared to healthy controls in the theta-band, though no differences were observed in midfrontal nodal strength and midfrontal clustering coefficient. Furthermore, no differences in global nor midfrontal nodal strength nor global clustering coefficients were observed between PDFOG+ and PDFOG- in the theta-band. However, PDFOG+ exhibited a significantly diminished midfrontal nodal clustering coefficient in the theta-band compared to PDFOG-. Furthermore, FOG scores were negatively correlated with midfrontal nodal clustering coefficient in the theta-band.

Conclusion: The present findings support the involvement of midfrontal theta oscillations in FOG symptoms in PD and the sensitivity of graph metrics to characterize functional networks in PDFOG+.

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来源期刊
CiteScore
8.30
自引率
4.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Neurorehabilitation & Neural Repair (NNR) offers innovative and reliable reports relevant to functional recovery from neural injury and long term neurologic care. The journal''s unique focus is evidence-based basic and clinical practice and research. NNR deals with the management and fundamental mechanisms of functional recovery from conditions such as stroke, multiple sclerosis, Alzheimer''s disease, brain and spinal cord injuries, and peripheral nerve injuries.
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