A Multimodal Analysis to Explore Upper Limb Motor Recovery at 4 Weeks After Stroke: Insights From EEG and Kinematics Measures

Author:

Antonioni Annibale12ORCID,Galluccio Martina3,Toselli Riccardo4,Baroni Andrea3,Fregna Giulia2,Schincaglia Nicola3,Milani Giada3,Cosma Michela3,Ferraresi Giovanni3,Morelli Monica3,Casetta Ilaria13,De Vito Alessandro3,Masiero Stefano4,Basaglia Nino1,Malerba Paola56,Severini Giacomo7,Straudi Sofia13

Affiliation:

1. Department of Neuroscience and Rehabilitation, Ferrara University, Ferrara, Italy

2. Doctoral Program in Translational Neurosciences and Neurotechnologies, Ferrara University, Ferrara, Italy

3. Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy

4. Department of Neuroscience, Section of Rehabilitation, University of Padua, Padua, Italy

5. Center for Biobehavioral Health, The Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA

6. School of Medicine, The Ohio State University, Columbus, OH, USA

7. School of Electrical and Electronic Engineering, University College Dublin, Dulin, Ireland

Abstract

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.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3