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BCI-controlled ankle robot training improves lower extremity function in stroke patientsBrain-controlled robot training showed early promise for stroke recovery in a small study

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Key Takeaway
Consider BCI-controlled ankle robot training for stroke rehab, but evidence is preliminary.

This randomized controlled trial involved 32 stroke patients who received either 40-minute BCI-controlled ankle robot training or control ankle-robot training over a 2-week follow-up period. The primary outcome was the Fugl-Meyer Assessment-Lower Extremity (FMA-LE), with secondary outcomes including Berg Balance Scale (BBS), Functional Ambulatory Category (FAC), Modified Ashworth Scale (MAS), active range of motion, muscle strength, and EEG-based measures like spectral power ratios and functional connectivity.

Main results showed that the BCI group demonstrated significantly greater improvement in FMA-LE compared to controls, with a ΔFMA-LE of .007. Within-group improvements were significant for dorsiflexion active range of motion, dorsiflexor strength, FMA-LE, BBS, and FAC (all p < .05). The BCI group also showed reduced calf spasticity on MAS (p < .038), decreased delta band power (p < .005), increased alpha band power (p < .017), reduced spectral power ratios (p < .05), reduced interhemispheric asymmetry in delta band (p < .018), and enhanced Cz-parietal connectivity in alpha and beta bands (p < .05). Absolute numbers and effect sizes for most outcomes were not reported.

Safety and tolerability were not reported, and limitations include the small sample size, short follow-up, and lack of detailed safety data. Practice relevance is not reported, but the findings suggest BCI-controlled training may offer functional benefits, though further research is needed to confirm efficacy and safety.

This study looked at whether adding brain-computer interface control to ankle robot training helps stroke patients recover better than using the robot alone. Thirty-two patients with prior strokes participated in a trial where they received 40-minute training sessions for two weeks. The brain-controlled group showed significant improvements in walking ability, leg strength, and balance compared to their own earlier performance. They also showed better results than the control group who used the robot without brain signals.

The brain-controlled group also experienced less muscle stiffness in their calves. Brain activity measurements showed changes in specific brain wave patterns and better connection between brain areas during the task. No serious safety problems were reported during the short training period. However, the study was very small and only followed patients for two weeks.

Readers should understand that this is an early finding from a limited trial. While the results are encouraging, they do not yet prove that this method is better than current treatments for everyone. More research with larger groups of people is needed to see if these benefits last longer and if the approach is safe for all stroke patients.

What this means for you:
Small study shows early promise for brain-controlled robot training in stroke recovery, but more research is needed.

Study Details

Study typeRct
EvidenceLevel 2
PublishedApr 2026
View Original Abstract ↓
BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilitation potential, but their efficacy and underlying neuroplasticity remain unclear. OBJECTIVE: To assess BCI-controlled ankle robot training on post-stroke lower-limb motor recovery and neuroplasticity using quantitative EEG (qEEG). METHODS: Thirty-two stroke patients were randomized to BCI (n = 16, 40-minute BCI-robot training) or control (n = 16, 40-minute ankle-robot training) groups, receiving 5 sessions/week for 2 weeks. Outcomes included Fugl-Meyer Assessment-Lower Extremity (FMA-LE), Berg Balance Scale (BBS), Functional Ambulatory Category (FAC), Modified Ashworth Scale (MAS), active range of motion (AROM), and muscle strength. QEEG assessed the relative power of the delta (rδ), theta (rθ), alpha (rα), beta (rβ) bands, spectral power ratios, pairwise-derived Brain Symmetry Index (pdBSI), and functional connectivity. RESULTS: Both groups showed significant within-group improvements in dorsiflexion AROM, dorsiflexor strength, FMA-LE, BBS, and FAC ( < .05). The BCI group demonstrated significantly greater FMA-LE improvement than controls (∆FMA-LE,  = .007) and reduced calf spasticity (MAS;  = .038). QEEG analysis in the BCI group revealed decreased rδ ( = .005), increased rα ( = .017), reduced DAR and DTABR ( < .05), reduced interhemispheric asymmetry (pdBSI-δ;  = .018), and enhanced Cz-parietal connectivity in α and β bands ( < .05). CONCLUSION: BCI-controlled ankle robot training significantly improved lower-limb motor function and reduced spasticity post-stroke. Associated neurophysiological changes, characterized by reduced slow-wave power and asymmetry, increased alpha power, and functional connectivity, indicated beneficial neuroplastic reorganization. China Clinical Trail Registry (ChiCTR2300074381; URL: http://www.chictr.org.cn).
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