Research › Stroke & Rehabilitation
Robotic Gait Multi-channel Mu Beta Neurofeedback Training in Paraplegics Enhanced Inter-regional Connectivity and Sensorimotor Functions
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Study at a glance
- Area
- Stroke & Rehabilitation
- Study type
- Pilot / open study
- Authors
- Da Silva Serafini ER, Blanco-Diaz CF, Guerrero-Mendez CD, Bastos-Filho T, Dantas AF, Santo CC, Delisle-Rodriguez D
- Journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Year
- 2026
- Population
- Adults
- Protocol
- Mu (8-12 Hz) and beta (15-20 Hz) training with gait motor imagery; single-channel at Cz, then multi-channel BCI
- Sessions
- 2 stages of 12 sessions
- Equipment
- Lokomat robotic gait trainer with EEG
Key findings
- Participants improved their ability to modulate mu and beta power
- Connectivity between sensorimotor regions increased
- Gains were reported in motor function, bladder management and functional independence
People with complete, chronic spinal cord injury practised imagining walking while in a robotic gait trainer, receiving EEG neurofeedback on mu and beta rhythms, first from a single site and then from a multi-channel brain-computer interface. Participants learned to change these rhythms and showed stronger connectivity between brain regions, along with reported clinical gains. The study was exploratory and the abstract does not give a sample size or a control group.