反映运动功能的脑卒中后大脑模块动态重组模式

IF 2.5 4区 医学 Q3 NEUROSCIENCES
Xin Yu, Kang Wu, Yuanyuan Li, Chen Chen, Tianzhu Chen, Xinyue Shi, Zhongjian Tan, Yihuai Zou
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引用次数: 0

摘要

目的:神经成像技术的进步大大加深了我们对中风相关神经生理病理的理解。然而,大多数研究忽视了脑网络动态变化的特征。脑网络动态变化与脑卒中后运动功能障碍严重程度之间的关系需要进一步研究。从多层网络模块重建的角度,我们旨在探讨皮层下脑卒中患者大脑的动态重组及其与运动功能的关系:方法:我们招募了 35 名健康人和 50 名单侧肢体运动功能障碍的脑卒中患者(又分为轻中度组和重度组)。通过动态多层网络模块化分析,我们研究了大脑网络动态模块化重构的变化。此外,我们还评估了中风患者的纵向临床量表变化。我们采用相关分析和回归分析分别探讨了特征动态指标与运动功能损伤和恢复之间的关系:结果:我们观察到中风后默认模式网络(DMN)的时间灵活性增加,注意网络(AN)、感觉运动网络(SMN)和DMN的模块重构招募减少。我们还观察到中风后模块忠诚度降低。此外,相关分析表明,DMN 的超灵活性与轻度至中度损伤的中风患者更好的下肢运动功能表现相关。回归分析表明,DMN内灵活性的增加和AN内招募系数的降低可预测轻度至中度运动功能障碍患者良好的下肢功能预后:我们的研究揭示了脑卒中后大脑网络更频繁的模块重构和过度活跃的相互作用。值得注意的是,动态模块重塑与运动功能的损伤和恢复密切相关。了解脑卒中后多层网络的时间模块重构模式可为更有针对性的治疗提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Reorganization Patterns of Brain Modules after Stroke Reflecting Motor Function.

Objective: Advancements in neuroimaging technologies have significantly deepened our understanding of the neural physiopathology associated with stroke. Nevertheless, the majority of studies ignored the characteristics of dynamic changes in brain networks. The relationship between dynamic changes in brain networks and the severity of motor dysfunction after stroke needs further investigation. From the perspective of multilayer network module reconstruction, we aimed to explore the dynamic reorganization of the brain and its relationship with motor function in subcortical stroke patients.

Methods: We recruited 35 healthy individuals and 50 stroke patients with unilateral limb motor dysfunction (further divided into mild-moderate group and severe group). Using dynamic multilayer network modularity analysis, we investigated changes in the dynamic modular reconfiguration of brain networks. Additionally, we assessed longitudinal clinical scale changes in stroke patients. Correlation and regression analyses were employed to explore the relationship between characteristic dynamic indicators and impairment and recovery of motor function, respectively.

Results: We observed increased temporal flexibility in the Default Mode Network (DMN) and decreased recruitment of module reconfiguration in the Attention Network (AN), Sensorimotor Network (SMN), and DMN after stroke. We also observed reduced module loyalty following stroke. Additionally, correlation analysis showed that hyper-flexibility of the DMN was associated with better lower limb motor function performance in stroke patients with mild-to-moderate impairment. Regression analysis indicated that increased flexibility within the DMN and decreased recruitment coefficient within the AN may predict good lower limb function prognosis in patients with mild to moderate motor impairment.

Conclusions: Our study revealed more frequent modular reconfiguration and hyperactive interaction of brain networks after stroke. Notably, dynamic modular remodeling was closely related to the impairment and recovery of motor function. Understanding the temporal module reconfiguration patterns in multilayer networks after stroke can provide valuable information for more targeted treatments.

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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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