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A trial combining tactile-feedback brain-computer interface training with motor imagery for upper-limb rehabilitation after stroke is recruiting in China. Registered with the Chinese Clinical Trial Registry as ChiCTR2600124911 on May 19, 2026 and carried by the WHO International Clinical Trials Registry Platform, the trial record is available through the WHO International Clinical Trials Registry Platform.

Intracranial recordings from ten epilepsy patients show that neural activity during cued limb motor imagery changes with the phase of the task: low-frequency (8-30 Hz) activity was mostly suppressed during preparation and switched to activation once imagery began, while high-frequency (60-115 Hz) responses were stronger, more widely distributed, and at some contacts followed an activation-then-suppression sequence. The stereoelectroencephalography (sEEG) data indicate that responses are not uniform but shift with task stage and brain region, which the authors tie to stage-aware feature design for BCIs and to neurorehabilitation.

ChatBCI-Assist integrates a locally deployed LLM with adaptive stopping, achieving record P300 speller online ITR of 105.2 bits/min and 30.7 CPM in semantic spelling.

The trial split 54 stroke patients with hand impairment into three groups using kinesthetic, hybrid and visuomotor imagery to drive BCI training, with upper-limb Fugl-Meyer score as the primary endpoint. The registration record does not yet report which imagery mode worked best.

Shandong Provincial Hospital in eastern China has registered a pilot trial that will test whether patients with acute ischemic stroke can begin brain-signal-driven arm training within days of onset. The planned 60 participants will practice upper-limb movements with a scalp EEG brain-computer interface that reads their intention to move and gives training feedback, compared against a sham-training group. Both groups will train for 10 days on top of standard early rehabilitation, twice a day for about 30 minutes per session. The primary outcome is the change in upper-limb motor function score 30 days after randomization. The trial is not yet recruiting and is expected to start in October 2026.

Guangdong Provincial Hospital of Traditional Chinese Medicine has registered a parallel-design interventional trial, ChiCTR2600124411, that plans to enroll 81 patients with unilateral upper-limb impairment after stroke in three groups of 27. Two groups receive intermittent theta-burst stimulation (iTBS) over the dorsolateral prefrontal cortex or the primary motor cortex, and one receives sham stimulation; all three undergo motor imagery BCI training. Primary outcomes are BCI decoding accuracy, the Fugl-Meyer Assessment and brain network topology. The trial was registered on May 12, 2026 and is not yet recruiting.

Researchers in Chongqing, a municipality in southwestern China, have proposed SPD-DANN, a method that aims to decode motor imagery, the brain signals produced when a person imagines moving a hand or foot, in new users without per-person calibration. Because EEG varies between people and drifts over time, BCIs typically need fresh data from each new user. SPD-DANN represents EEG features on a symmetric positive definite (SPD) matrix manifold, a mathematical space that better fits their nonlinear structure, and uses adversarial learning to extract features shared across individuals. Tested on 4 BCI datasets, the method outperformed several existing unsupervised domain adaptation techniques, the researchers said. The abstract gives no accuracy figures, and all tests were offline.

Current hearing aids amplify every sound in a noisy room rather than the person a listener wants to hear. Using intracranial EEG in neurosurgical patients, researchers built a closed-loop system that decodes which talker a listener is attending to and amplifies that voice in real time. Across multiple experiments it improved speech intelligibility, reduced listening effort and was consistently preferred by subjects, and it followed both instructed and self-initiated shifts of attention.

The trial plans to enroll 40 patients with Parkinson's disease aged 40 to 80, randomized into 2 groups: one adds brain-computer interface rehabilitation training to functional electrical stimulation, the other receives functional electrical stimulation alone. Both arms train 20 minutes per day for the upper extremities and 20 minutes per day for the lower extremities, completing 12 treatment days within 2 weeks. The primary endpoint is a motor symptom rating scale, with diffusion tensor imaging, magnetic resonance spectroscopy, resting-state fMRI, and sleep, cognitive and mood scales as secondary endpoints, testing whether adding BCI training produces measurable change beyond motor symptoms.

A trial at Xuzhou Rehabilitation Hospital Affiliated to Xuzhou Medical University paired a motor imagery brain-computer interface with modified constraint-induced movement therapy to restore upper-limb function after stroke. The hospital is a rehabilitation specialty facility affiliated with Xuzhou Medical University, and the combined approach is meant to test whether a BCI adds benefit on top of established rehabilitation training. It planned 40 participants, 20 in the combined group and 20 in the control group, with the first patient enrolled on December 24, 2025; the registry now lists the study as completed. The primary endpoint is the Fugl-Meyer Assessment for Upper Extremity, with the Wolf Motor Function Test and modified Barthel Index as secondary measures. Funding comes from the New Round of Xuzhou "Pengcheng Talent Program" — High-level Healthcare Talent Recruitment and Development Project, project number 2025TD14. No results are posted, so whether the combined approach beats constraint therapy alone remains unknown.