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The trial combines a brain-computer interface with robotic mirror therapy into a single intervention, while the control arm receives conventional comprehensive rehabilitation only. It enrolls patients aged 30 to 80 with unilateral upper-limb motor impairment 1 to 6 months after ischemic or hemorrhagic stroke, whose lesions are confined to the basal ganglia. The primary endpoint is the Fugl-Meyer Assessment of the Upper Extremity, with EEG, functional MRI and the Modified Ashworth Scale among secondary measures. The planned enrollment is 40 patients, with first enrollment set for May 1, 2026.

A trial of a dual-task brain-computer interface (BCI) combining motor-intention detection with virtual reality training is recruiting patients to measure how it affects shoulder function after rotator cuff repair surgery, following its registration with the Chinese Clinical Trial Registry (ChiCTR) on April 20, 2026. The record has been reposted by the WHO International Clinical Trials Registry Platform (ICTRP).

A brain-computer interface (BCI) trial for upper-limb motor rehabilitation after hemorrhagic stroke was registered with the Chinese Clinical Trial Registry under the number ChiCTR2600122859 on April 20, 2026, and has not yet begun recruiting. The study combines electroencephalography (EEG) with functional near-infrared spectroscopy (fNIRS). The registration record does not disclose the study design, sample size or sponsor.

A trial registered in China pairs brain-computer interface technology with mindfulness meditation training for adolescents with depression, recording EEG alongside the sessions to see how brain activity changes. The question is whether real-time brain signals can be read during meditation and fed back into the training, making the intervention more responsive to each participant's state. Recruitment has not yet started, and the design, sample size and sponsor have not been disclosed.

A Nature Communications study tested ultra-Flexible Implantable Neural Electrode arrays during awake surgery in 16 patients. Valid single-unit recordings were obtained in 11 patients, yielding 719 isolated neurons and as many as 135 simultaneously, while five early cases failed because of operating-room noise or damaged insertion needles. The work was intraoperative and does not establish long-term implant performance.

Johns Hopkins University has launched the INTENT clinical trial to evaluate the safety and preliminary efficacy of an implantable device that records and stimulates different brain areas, enabling adults with disabling paralysis to control assistive devices and receive feedback. The trial is now recruiting participants with conditions including tetraplegia, ALS, brain stem stroke, and spinal cord injury. Johns Hopkins is a leading U.S. research university whose medical school is renowned in neuroscience. The trial was first posted on ClinicalTrials.gov on April 13, 2026, and is currently recruiting.

Researchers at Xidian University built DisCo-Former, a Transformer framework for single-trial rapid serial visual presentation (RSVP) EEG decoding with three components guided by neurophysiological priors, then found its attention consistently collapsed: attention maps went nearly uniform and value-projection weights shrank toward 0. Stripping out the Transformer encoder left DisCo-MLP, a pure multilayer perceptron that matched or beat the Transformer version across two datasets and three evaluation regimes, with within-subject mean AUCs of about 0.94 to 0.98. For RSVP-EEG, the authors argue, modeling the signal's structure matters more than architectural complexity. The study was published in the International Journal of Neural Systems on April 10, 2026.

A randomized controlled trial of motor-imagery brain-computer interface (BCI) training for swallowing difficulty after stroke was registered with the Chinese Clinical Trial Registry (ChiCTR) on April 9, 2026, under the number ChiCTR2600122162. It will test whether the training improves swallowing function in stroke patients, and has not yet begun recruiting.

People's Daily Online reported that BrainCo completed an RMB 2 billion Series B+ round in January 2026, the largest single BCI financing in China at the time. The report did not disclose the lead investor, a complete investor list or the post-money valuation. The round indicates a capital-intensive expansion phase across BrainCo's non-invasive and medical product lines.

To reduce negative transfer in motor imagery BCIs, the study presents an adaptive dynamic transfer learning framework that decomposes EEG time-frequency features via wavelet convolution, matches source and target samples through a dynamic transfer attention module, and uses a joint loss to shrink marginal and class-conditional differences. On BNCI2014001, BNCI2014002 and BNCI2015001 it reached 78.78%, 82.11% and 78.19% accuracy, averaging 0.13% to 27.7% above baseline algorithms.