Comprehensive Summary
Serafini et al. investigated a novel therapeutic strategy to improve neurogenic bladder symptoms in individuals with complete spinal cord injury (SCI). The researchers combined robotic-assisted gait training with a motor imagery based brain-computer interface that delivers real-time electroencephalographic (EEG) neurofeedback. Seven male participants with chronic, motor-complete SCI completed 24 sessions over 12 weeks. During each session, they performed kinesthetic gait imagery while the robotic exoskeleton passively guided their legs. EEG data were analyzed for mu (8–12 Hz) and beta (15–20 Hz) rhythms because these frequencies are proven key markers of cortical sensorimotor activity. Clinical improvement was evaluated using the Neurogenic Bladder Symptom Score (NBSS), alongside sensory and balance measures. Six of the seven participants achieved a clinically meaningful improvement in NBSS. EEG findings revealed a negative correlation between increased mu/beta modulation and reduced bladder symptom severity, indicating that cortical reorganization accompanied functional recovery. Improvements were observed immediately post-intervention and persisted at one-month follow-up.
Outcomes and Implications
This study provides early evidence that targeted cortical neuromodulation via MI-BCI training may restore bladder control in SCI patients.. By synchronizing motor imagery, EEG-based feedback, and robotic gait simulation, the intervention appears to strengthen communication between the sensorimotor cortex and autonomic centers responsible for voiding. These findings suggest that cognitive engagement of motor circuits can influence visceral functions such as urination, expanding the potential scope of rehabilitation beyond locomotion. Clinically, this approach could complement or replace invasive neuromodulatory techniques, offering a non-pharmacologic, technology-driven therapy for neurogenic bladder. The authors note, however, that larger trials and urodynamic validation are needed before widespread clinical adoption would be wise. If replicated, this protocol could redefine post-SCI rehabilitation by integrating brain-computer interfaces into standard robotic therapy to improve both mobility and autonomic outcomes.