探索中风后4周上肢运动恢复的多模式分析:脑电图和运动学测量的见解。

Clinical EEG and neuroscience Pub Date : 2024-07-01 Epub Date: 2023-10-19 DOI:10.1177/15500594231209397
Annibale Antonioni, Martina Galluccio, Riccardo Toselli, Andrea Baroni, Giulia Fregna, Nicola Schincaglia, Giada Milani, Michela Cosma, Giovanni Ferraresi, Monica Morelli, Ilaria Casetta, Alessandro De Vito, Stefano Masiero, Nino Basaglia, Paola Malerba, Giacomo Severini, Sofia Straudi
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引用次数: 0

摘要

背景中风是世界范围内死亡和残疾的主要原因,突触可塑性在很短的时间内增加,这是运动恢复的基础。因此,获取数据以指导康复治疗是至关重要的。运动学和神经生理学数据已经取得了有希望的结果,但目前很少有研究将这些不同的模式结合起来。目标。我们探讨了标准化临床量表、运动数据和中风后4周脑电图测量之间的相关性。方法。考虑了26名患者。其中,20名患者在4周时进行了除运动学分析外的脑电图研究。后果我们发现Fugl-Meyer评估上肢、运动持续时间、平滑度和速度峰值之间存在相关性。此外,脑电图测量显示,在临床条件较好的患者中,健康半球有取代受影响半球的趋势。结论。这些结果表明运动(特别是运动持续时间和平稳性)和脑电图生物标志物与评估卒中后恢复的相关性。我们强调将中风早期的临床数据与运动学和脑电图分析相结合的重要性,以指导康复策略,最好地利用短暂的突触可塑性增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multimodal Analysis to Explore Upper Limb Motor Recovery at 4 Weeks After Stroke: Insights From EEG and Kinematics Measures.

Background. Stroke is a leading cause of death and disability worldwide and there is a very short period of increased synaptic plasticity, fundamental in motor recovery. Thus, it is crucial to acquire data to guide the rehabilitation treatment. Promising results have been achieved with kinematics and neurophysiological data, but currently, few studies integrate these different modalities. Objectives. We explored the correlations between standardized clinical scales, kinematic data, and EEG measures 4 weeks after stroke. Methods. 26 patients were considered. Among them, 20 patients also performed the EEG study, beyond the kinematic analysis, at 4 weeks. Results. We found correlations between the Fugl-Meyer Assessment-Upper Extremity, movement duration, smoothness measures, and velocity peaks. Moreover, EEG measures showed a tendency for the healthy hemisphere to vicariate the affected one in patients characterized by better clinical conditions. Conclusions. These results suggest the relevance of kinematic (in particular movement duration and smoothness) and EEG biomarkers to evaluate post-stroke recovery. We emphasize the importance of integrating clinical data with kinematic and EEG analyses from the early stroke stages, in order to guide rehabilitation strategies to best leverage the short period of increased synaptic plasticity.

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