EEG-based neurofeedback in post-stroke rehabilitation

Clinical task

Motor-imagery based neurofeedback uses the desynchronization of the sensorimotor rhythm and enables direct brain–computer communication without muscular activity [1].

In chronic stroke, brain–machine interface training with movement intent is associated with clinical improvement [2].

StageDuration
Screening1 week
Training4 weeks, 3–4 sessions/week
Follow-up3 months

Equipment

Brain–computer interfaces are also used for communication and restoration of movement in paralysis [3]; sessions were performed with our EEG amplifiers and caps.

Full sources: list of references.

Illustrations

Specification

Parameter Value
EEG amplifier
EEG channels 16
Sampling rate 250–500 Hz
Neurofeedback module yes
Motor imagery protocols 2–3
Session length 30 min
Electrode cap gel / dry
Montage 10–20

References

1. Pfurtscheller G., Neuper C. (2001). Motor imagery and direct brain-computer communication. Proceedings of the IEEE, 89(7), 1123–1134.

2. Ramos-Murguialday A., Broetz D., Rea M., et al. (2013). Brain-machine interface in chronic stroke rehabilitation: a controlled study. Annals of Neurology, 74(1), 100–108.

3. Birbaumer N., Cohen L.G. (2007). Brain–computer interfaces: communication and restoration of movement in paralysis. The Journal of Physiology, 579(3), 621–636.

Our equipment