Bihemispheric beta desynchronization during an upper-limb motor task in chronic stroke survivors

• Autores: Santiago Ezquerro García, Juan Barios Baquero, Arturo Bertomeu Motos, Jorge Díez, José Antonio Sánchez Aparicio, Luis Donis Barber, Eduardo Fernández Jover, Noelia García Aracil
• Localización: From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II / coord. por Hojjat Adeli; José Manuel Ferrández Vicente (dir. congr.), José Ramón Álvarez Sánchez (dir. congr.), Félix de la Paz López (dir. congr.), Francisco Javier Toledo Moreo (dir. congr.), 2019, ISBN 978-3-030-19651-6, págs. 371-379
• Idioma: inglés
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• Resumen

  • For severe motor paralysis patients, most rehabilitationstrategies require residual movements that, however, are lacking in up to 30–50% of stroke survivors. In these patients, motor imagery based BCI systems might play a substantial role in rehabilitation strategies. 11severely motor-injured stroke patients and 6 healthy participants participated in this study. During an unilateral upper-hand motor task, stroke patients shown significant modulation of sensorimotor rhythms in both hemispheres, shown that EEG signals of both hemispheres can be used for control of BMI systems. Main findings were that ERD amplitude was reduced in affected hemisphere, and that ERD when using affected hand was lateralized to and more marked in ipsilateral (unaffected) hemisphere.Significant activation differences between healthy and affectedhemisphere were found, suggesting participation of different physiological mechanisms in both, that might be explored in future experimentation for improving the design and implementation of EEG-based BMI systems and use of these systems in neurorehabilitation of stroke.