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

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