Category: Stroke; Neuroplasticity (includes neuroscience); Limb Restoration Rehabilitation
Objective : Stroke is one of the most prevalent pathologies around the world, with severe effects to the motor and sensory system that hinder the daily living activities. The current physical therapy techniques have evident limitations and, in some cases, have an innocuous effect for non-cooperative or strongly impaired patients who only can receive passive movement treatments. New rehabilitation technologies are emerging to brake the current limitations, like Brain Computer Interface (BCI).
Design : BCI systems can help the stroke survivors to relearn the lost movements inducing neuroplastic changes in the affected motor cortex. The electrical brain signals can provide valuable information about the brain functions, thence the BCI systems can process these signals to understand what is happening in each situation.
Setting : All of them performed assessments sessions before and after the therapy.
Participants (or Animals, Specimens, Cadavers) : Fifteen stroke patients with hemiparesis in the upper limb have been enrolled on this study and performed 25 sessions of BCI training.
Interventions : Interventions: Not applicable
Main Outcome Measure(s) : The event-related synchronization and even-related desynchronization (ERD/ERS) calculated with the brain signals during the motor imagery tasks, could be related with the functional state of the stroke patients. The Laterality Coefficient (LC) is a parameter calculated using the ERD/ERS changes in the mu wave.
Results : The results showed significant correlation between the LC and functional scales like the Fugl-Meyer Assessment (FMA) or Box and Block Test (BBT).
Conclusions : These results suggest that the LC could be a good biomarker for the functional assessment in stroke patients.
Marc Sebastian-Romagosa– Clinical research, G.TEC MEDICAL ENGINEERING SPAIN SL, Barcelona, Catalonia
Rupert Ortner– Research, g.tec medical engineering Spain SL, Barcelona, Catalonia
Josep Dinarès-Ferran– Research & development, g.tec medical engineering, Barcelona, Catalonia
Katrin Mayr– Application Specialist, Guger Technologies OG
Christoph Guger– CEO, g.tec medical engineering Spain S.L., Barcelona, Catalonia