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脑干中的异常活动在神经肌肉骨骼模型中影响步态。

Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model.

作者信息

Ichimura Daisuke, Sawada Makoto, Wada Kenji, Hanajima Ritsuko

机构信息

Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.

School of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Fukuoka, Japan.

出版信息

J Neuroeng Rehabil. 2025 Apr 4;22(1):73. doi: 10.1186/s12984-025-01596-x.

Abstract

BACKGROUND

The ability to start and stop locomotion in response to different situations is an essential survival strategy in mammals. Mammalian locomotion is controlled by central pattern generators in the spinal cord, which are modulated by higher centers, particularly by the stimulation of the midbrain locomotor region. The midbrain locomotor region consists of the pedunculopontine nucleus and cuneiform nucleus, each having different roles in animals. Optogenetic activation of the cuneiform nucleus increases locomotion activities, whereas that of pedunculopontine nucleus decreases them. In neurological disorders such as Parkinson's disease, patients exhibit disturbed locomotion controls, including freezing of gait, which is defined as "a brief, episodic absence or marked reduction in the forward progression of the feet despite the intention to walk." However, the details and pathophysiological mechanisms of freezing of gait remain unclear.

METHODS

In this study, we aimed to elucidate the mechanisms underlying freezing of gait using a two-dimensional neuromusculoskeletal model fixed on the sagittal plane. This model consisted of a body with seven links and 18 muscles as well as a neural system including the brainstem and spinal cord. We developed a normal condition model and then derived a model of abnormal brainstem activity by modifying the parameters of the pedunculopontine nucleus and cuneiform nucleus during the initial 3 s of walking.

RESULTS

The normal models walked successfully following internal parameter optimization using standard genetic algorithms. In an abnormal model, 156 freezing of gait events were detected among 40,000 parameter sets using a freezing of gait-identifying algorithm. Hierarchical cluster analysis identified four clusters of parameters, based on the intensities of the pedunculopontine nucleus and cuneiform nucleus activity, differentiated in physiological movement types during freezing of gait events that were similar to the clinical classification types of freezing of gait.

CONCLUSIONS

Our results indicate that pedunculopontine nucleus and cuneiform nucleus activities could be linked with freezing of gait and that different modifications of those activities could generate observed freezing of gait subtypes. Our models can provide insights relevant for understanding the pathophysiological mechanisms of freezing of gait and are expected to assist in the classification of freezing of gait subtypes.

摘要

背景

在不同情况下启动和停止运动的能力是哺乳动物至关重要的生存策略。哺乳动物的运动由脊髓中的中枢模式发生器控制,这些发生器受更高层级中枢的调节,特别是中脑运动区的刺激。中脑运动区由脚桥核和楔形核组成,它们在动物体内各自发挥不同作用。对楔形核进行光遗传学激活会增加运动活动,而对脚桥核进行光遗传学激活则会减少运动活动。在帕金森病等神经系统疾病中,患者表现出运动控制障碍,包括步态冻结,步态冻结被定义为“尽管有行走意图,但双脚向前推进出现短暂、发作性缺失或明显减少”。然而,步态冻结的细节和病理生理机制仍不清楚。

方法

在本研究中,我们旨在使用固定在矢状面上的二维神经肌肉骨骼模型阐明步态冻结的潜在机制。该模型由一个具有七个关节和18块肌肉的身体以及一个包括脑干和脊髓的神经系统组成。我们构建了一个正常状态模型,然后通过在行走的最初3秒内修改脚桥核和楔形核的参数,推导出一个脑干活动异常的模型。

结果

正常模型通过使用标准遗传算法进行内部参数优化后成功行走。在一个异常模型中,使用步态冻结识别算法在40000个参数集中检测到156次步态冻结事件。层次聚类分析根据脚桥核和楔形核活动的强度确定了四个参数簇,这些参数簇在步态冻结事件期间的生理运动类型上有所不同,类似于步态冻结的临床分类类型。

结论

我们的结果表明,脚桥核和楔形核的活动可能与步态冻结有关,并且这些活动的不同改变可能产生观察到的步态冻结亚型。我们的模型可以为理解步态冻结的病理生理机制提供相关见解,并有望有助于步态冻结亚型的分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f473/11969973/da1e939f781d/12984_2025_1596_Fig1_HTML.jpg

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