Graph network and symmetry analysis after combined XR and tDCS in stroke rehabilitation

Document Type

Journal Article

Publication Title

Biomedical Signal Processing and Control

Volume

96

Publisher

Elsevier

School

Centre for Exercise and Sports Science Research / School of Medical and Health Sciences

RAS ID

71505

Funders

Fundação de Amparo à Pesquisa do Estado de São Paulo

Grant Number

2015/03695-5

Comments

Carlos, B. M., Menezes, L. T., Rosa, B., Furumoto, B. F., Feitosa, S. S., Fernandes, C. A., ... & Castellano, G. (2024). Graph network and symmetry analysis after combined XR and tDCS in stroke rehabilitation. Biomedical Signal Processing and Control, 96, 106499. https://doi.org/10.1016/j.bspc.2024.106499

Abstract

The integration of innovative neurotechnologies in rehabilitation programs seems promising for enhancing motor recovery in people with stroke. This study presents a comprehensive exploration of brain connectivity with symmetry and graph network analyses during motor rehabilitation using extended reality (XR) training and transcranial direct current stimulation (tDCS). The evolution of selected electroencephalography (EEG) features was assessed along with changes in clinical scores before and after the rehabilitation program in order to identify directions for future research. Clinical motor performance scales and resting-state EEG assessments showed trends indicating the improvement of connectivity and integration capacity over rehabilitation time, particularly within the theta, beta, and gamma frequency bands. Symmetry indices, particularly at higher frequencies, were significantly correlated with clinical improvements, demonstrating a stronger relationship between brain symmetry and lower extremity function as well as an increasing symmetry trend at the end of the rehabilitation program. Based upon the preliminary findings of this study, rehabilitation sessions that combine XR and tDCS can induce changes in neuroplasticity and improve motor recovery, which may in turn increase the life quality of people with stroke.

DOI

10.1016/j.bspc.2024.106499

Access Rights

subscription content

Link to Full Text

Share

 
COinS