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主动踝关节背屈时运动准备对步行能力的影响。

Effects of Motor Preparation on Walking Ability in Active Ankle Dorsiflexion.

作者信息

Ito Hiroki, Yamaguchi Hideaki, Yamauchi Ryosuke, Kitai Ken, Nishimoto Kazuhei, Kodama Takayuki

机构信息

Graduate School of Health Science, Kyoto Tachibana University, Yamashina-ku 607-8175, Kyoto, Japan.

CARETECH Plus, Nagoya 462-0847, Aichi, Japan.

出版信息

Neurol Int. 2025 Jun 17;17(6):93. doi: 10.3390/neurolint17060093.

Abstract

BACKGROUND/OBJECTIVES: This study aimed to examine the influence of brain activity during motor preparation on walking ability, focusing on motor control during active ankle dorsiflexion.

METHODS

Participants were classified into high- and low-corticomuscular coherence (CMC), an index of neuromuscular control based on the median value. Biomechanical and neurophysiological indices of active ankle dorsiflexion and walking ability were compared between the two groups. Additionally, a machine learning model was developed to accurately predict the CMC classification using brain neural activity during motor preparation.

RESULTS

The Cz-TA CMC (beta frequency band) during active ankle dorsiflexion successfully detected significant differences in the maximum dorsiflexion angle, inversion angular velocity, brain activity localization, and variations in Cz beta power values during the transition from motor preparation to execution. Furthermore, CMC identified significant differences in dorsiflexion angle changes after toe-off and inversion angles at initial contact during gait. A support-vector machine model predicting high or low CMC demonstrated high accuracy (Accuracy: 0.96, Precision: 0.92-1.00, Recall: 0.91-1.00, F1 Score: 0.95-0.96) during motor execution based on beta power values from -500 to 0 ms prior to the initiation of active ankle dorsiflexion (representing motor preparation).

CONCLUSIONS

These findings highlight that the motor preparation processes of the brain during active ankle dorsiflexion are involved in walking ability and can be used to predict it. This indicator is independent of disease severity and holds the potential to provide a clinically versatile evaluation method.

摘要

背景/目的:本研究旨在探讨运动准备过程中的大脑活动对步行能力的影响,重点关注主动踝背屈过程中的运动控制。

方法

参与者根据基于中位数的神经肌肉控制指标皮质-肌肉相干性(CMC)分为高CMC组和低CMC组。比较两组之间主动踝背屈和步行能力的生物力学和神经生理学指标。此外,开发了一种机器学习模型,以利用运动准备过程中的脑神经元活动准确预测CMC分类。

结果

主动踝背屈期间的Cz-TA CMC(β频段)成功检测到从运动准备到执行过渡期间最大背屈角度、内翻角速度、脑活动定位以及Czβ功率值变化的显著差异。此外,CMC还识别出步态中离地后背屈角度变化和初始接触时内翻角度的显著差异。基于主动踝背屈开始前-500至0 ms(代表运动准备)的β功率值,预测高或低CMC的支持向量机模型在运动执行期间显示出高精度(准确率:0.96,精确率:0.92-1.00,召回率:0.91-1.00,F1分数:0.95-0.96)。

结论

这些发现突出表明,主动踝背屈期间大脑的运动准备过程与步行能力有关,并且可用于预测步行能力。该指标与疾病严重程度无关,具有提供临床通用评估方法的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7ad/12196276/af1053c1dcb9/neurolint-17-00093-g001.jpg

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