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2026-10-15 00:00 Clinical Launch & Registration Source language EN

Stroke Trial Compares Two Feedback Methods for Motor Imagery BCI Training

Summary An ongoing randomized clinical trial will compare continuous neurofeedback with feedback indicating correct or incorrect task performance to assess learning and control of a motor imagery brain-computer interface in adults with subacute left-hemisphere stroke. The study in Argentina plans to enroll 20 participants and is enrolling by invitation. Participants will be randomly assigned to groups and receive BCI calibration followed by 10 real-time training sessions, with EEG and surface EMG recorded throughout. Decoding accuracy, algorithmic assistance, and motor and neurophysiological measures will be used to assess feasibility and performance for upper-limb rehabilitation. No results are available to establish benefits for BCI control or arm function.
Why it matters The comparison group will still receive feedback indicating correct or incorrect performance; it is not a no-feedback condition. The study will assess both decoding accuracy and algorithmic assistance, examining performance alongside the support supplied by the system.

BCIwiki (bciwiki.com) — According to study registration information from Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia, a randomized clinical trial has started in Argentina to evaluate the feasibility and performance of a co-adaptive motor imagery brain-computer interface (BCI) for upper-limb rehabilitation in adults with subacute left-hemisphere stroke. ClinicalTrials.gov first posted the record on 2026-10-15 under identifier NCT07875257.

Participants will be randomly assigned to continuous neurofeedback or binary feedback. Continuous neurofeedback supplies ongoing feedback information, whereas binary feedback indicates correct or incorrect task performance. The trial will test whether continuous neurofeedback improves BCI control and learning compared with binary feedback. Motor imagery involves imagining movements rather than simply performing physical limb movements.

The intervention consists of BCI calibration followed by 10 real-time BCI training sessions. EEG and surface EMG signals will be recorded throughout the sessions. BCI performance will be assessed using decoding accuracy and the algorithmic support provided by the Supportive Backward Adaptation (SBA) method, alongside motor and neurophysiological measures.

The record lists an actual study start date of 2026-10-01, first submission on 2026-10-06, and both first posting and latest update posting on 2026-10-15. The study is enrolling by invitation, with estimated enrollment of 20 participants. Primary completion and study completion are both estimated for 2027-10. No results are available; whether continuous neurofeedback outperforms binary feedback or provides upper-limb functional benefits remains to be evaluated.

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