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  • Graph network and symmetry ...
    Carlos, Bruna M.; Menezes, Lucas T.; Rosa, Beatriz; Furumoto, Bruna F.; Feitosa, Saulo S.; Fernandes, Corina A.; Ferreira-Melo, Silvia E.; Pereira, Júlia D.; Almeida, Sara; Brandão, Alexandre F.; Ruas, Cassio V.; Castellano, Gabriela

    Biomedical signal processing and control, October 2024, 2024-10-00, Letnik: 96
    Journal Article

    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. •Neuromodulation and extended reality improve neuroplasticity and motor recovery.•Brain connectivity and integration capacity can improve in chronic stroke survivors.•Symmetry indices significantly correlate with lower limb improvements.•Connectivity symmetry index can be helpful to understand recovery after stroke.