Clinical Translation

KK Women's and Children's Hospital in Singapore has registered a clinical trial of brain-computer interface neurofeedback training (BCI-NFT) for children and adolescents aged 7 to 21 with acquired brain injury from causes including traumatic brain injury, stroke, encephalitis, brain tumors and epilepsy. The intervention group will complete 12 sessions of about 60 minutes each over 10 weeks, wearing a wireless EEG headband while interacting with neurofeedback computer games; the control group receives standard care first and then crosses over to training. A cohort of peers with no history of brain injury will provide normative EEG data. The trial plans to enroll 70 participants, with primary endpoint results expected in February 2028.

Anhui issued a 2026-2030 BCI action plan on June 15, 2026 that sets its near-term milestones in 2028 rather than 2027 and frames every target as a minimum, including at least three approved invasive BCI clinical trials. Research leadership goes to the University of Science and Technology of China, with Hefei as the hub, Bengbu handling key components and Wuhu clinical translation.

Beijing issued China's first provincial-level brain-computer interface (BCI) action plan on January 7, 2025, setting every 2027 and 2030 target in terms of companies and platforms rather than output or revenue. The plan calls for three to five unicorns or would-be unicorns by 2027 and around 100 innovative small and medium-sized firms by 2030. On the payment side, Beijing prices invasive BCI implantation at RMB 7,980 per procedure and covers all three BCI service fees under Category A of basic medical insurance, limited to four hospitals.

Shanghai's science and technology commission issued a BCI action plan on January 10, 2025, pledging to help blind patients partially regain sight by 2030 and to have more than five invasive or semi-invasive products complete medical device type testing by 2027. The city's healthcare security bureau created three BCI service fee items in August 2025 but left prices to hospitals and explicitly excluded them from basic medical insurance payment.

Sichuan's industry department and seven other agencies issued a BCI and human-machine interaction plan on May 12, 2025, targeting 3,000 invasive BCI operations a year by 2030 and the registration of three invasive and five non-invasive products by 2027. The province prices BCI services in five tiers by hospital grade, with implantation ranging from RMB 6,583 to RMB 4,389, all paid out of pocket.

Shandong's health commission and 15 other agencies issued a BCI clinical translation plan on July 7, 2026, following a 2025 industry plan led by the provincial science department. The 14-measure plan sets up a clinical research alliance and a provincial clinical database, cuts review time for Class II devices to 90 working days, and targets more than 30 multicenter validation projects and a RMB 2 billion industry by 2028.

Jiangxi issued BCI support measures on November 26, 2025 that set no numeric targets but called for mutual recognition of clinical research ethics reviews, and its health commission followed on May 26, 2026 with guidance requiring participating sites to finish recognition reviews within 10 working days. Invasive projects for neurological or psychiatric treatment also need provincial expert review within 20 working days.

Jiangsu's industry department and eight other agencies issued a BCI action plan in March 2026 that invites companies in hazardous chemicals, nuclear power, mining and electric power to pilot the technology first. Nearly all its numeric targets, including at least 20 registered medical products, fall in 2030, and a widely cited RMB 6,600 implant price appears only in a 2025 draft, not in the province's final pricing notice.

Tianjin's municipal government issued a 2026-2030 BCI action plan on May 26, 2026 that limits every numeric product target to non-invasive devices, aiming for more than ten in large-scale clinical use by 2030, while invasive products get a single unquantified approval goal. The plan also targets an industry fund cluster of more than RMB 10 billion by 2030.

Guangdong's provincial Party science and technology committee office issued a 2026-2030 BCI plan on June 5, 2026 that calls for 200 BCI hospital wards serving more than 500,000 patients cumulatively by 2030. The plan assigns invasive devices and signal decoding to Shenzhen and non-invasive systems to Guangzhou, and follows provincial BCI prices set nine months earlier, with implantation capped at RMB 6,600.

Zhejiang became the first Chinese province to reimburse a BCI service when it covered non-invasive fitting fees under Category B insurance from September 1, 2025, limited to smart bionic prosthesis fittings. Its 18 industry-academia-research measures, dated July 16, 2026, cut review of qualifying Class II BCI devices to 40 working days and offer research hospitals up to RMB 8 million per project.

Fujian's science department and five other agencies issued a 2026-2030 BCI action plan on August 9, 2026, making the province the 11th in China with a dedicated BCI policy. It plans a cross-strait joint laboratory with Taiwanese research institutions and companies by 2027 and targets 30 innovative companies and a RMB 3 billion industry by 2030.

Hubei became the first Chinese province to publish BCI medical service prices on March 31, 2025, capping invasive implantation at RMB 6,552, and Wuhan hosted China's first BCI operation charged at the government guidance price in November 2025. The province has no dedicated BCI policy document, and its prices carry no insurance payment category.

As of September 14, 2026, 11 of China's 31 provincial-level regions had issued dedicated BCI policy documents, but Hainan, Qinghai and Xinjiang had published BCI medical service prices without any industry plan. Hubei, Hunan, Chongqing and Henan have BCI initiatives but no dedicated documents, and 16 other regions show neither.

Training accurate BCI models depends on large, diverse EEG datasets, but that data is usually locked inside individual hospitals and labs, stored in inconsistent formats and restricted by privacy rules, which makes it hard to share. TrustBCI brings three functions into one platform: turning raw BCI datasets into assets that can be exchanged, using incentives to keep institutions contributing data, and letting users run computations without access to the raw records. The platform demonstrates two workflows, controllable data synthesis, which generates new datasets, and privacy-preserving query, which returns only query results. That suggests BCI models could be trained jointly across institutions without first pooling the data in one place.

Researchers have mapped the brain-computer interface (BCI) attack surface along five dimensions (forged neural signals, desynchronization-based evasion, replay hijacking, "Vein Tapping" eavesdropping and embedded backdoors), which they group as "NERVE Attacks" and describe as orthogonal and together spanning the full BCI stack. Their EEGle framework, which the team is releasing to the community for building and verifying device security, surfaced 17 new neuro-specific attack instances and a stealth-versus-effectiveness trade-off in backdoor design. The authors warn that generative AI is lowering the barrier for non-expert attackers, with risks to cognitive autonomy, mental privacy and physical safety, from neural data exfiltration to malicious control of BCI-connected devices. The preprint, by Zahra Tarkhani, Georgios Akkogiounoglou, Lorena Qendro, Isabel Tscherniak and Anil Madhavapeddy, has not been peer reviewed.

Even when the eyes stay fixed on one point, the brain tracks moving objects in a video, and that tracking grows stronger with attention. But researchers at KU Leuven found that EEG tracking of an object's motion weakens the farther the object sits from the fixation point, meaning decoding methods that read attention from tracking strength may mistake where an object is for where attention is.

A wireless implantable neural interface, the Brain Interchange (BIC), paired with artifact-removal algorithms captured about 82% of the high-frequency oscillations (HFOs) that a clinical-grade amplifier detected across 24-hour intracranial EEG recordings in 10 patients with drug-resistant epilepsy, according to a preprint. Using those HFOs, the system localized the seizure onset zone with 84% sensitivity and 90% specificity, comparable to clinical equipment. The authors present the work as a translational framework for chronic tracking of epileptogenic networks and for future biomarker-guided adaptive neuromodulation.

Researchers report that more than 150 children worldwide have received implanted brain-computer interfaces, a number expected to grow quickly as the devices reach the market. A 2026 paper in Neurorehabilitation and Neural Repair spells out a roadmap for pediatric iBCI development, including work from the first International Virtual Summit on Implanted BCIs for Children with Complex Needs and workshops at the 11th International BCI Society Meeting. It highlights unresolved questions about early-life implantation and pediatric indications that must be answered before the technology is deployed widely in children.

A workshop at the BCI Society Meeting 2025, run with the Implantable BCI Collaborative Community (iBCI-CC), took up how clinical outcome assessments (COAs) for pivotal BCI trials should be selected, developed and validated. Participants pointed to patient heterogeneity, the absence of widely validated COAs, and the difficulty of capturing outcomes that matter in home and daily-life settings. The discussion lays groundwork for the iBCI-CC Clinical Study Endpoints Workgroup to build a transparent process for identifying meaningful aspects of health and concepts of interest, in support of regulatory approval and reimbursement.

A review in Topics in Stroke Rehabilitation maps the neurophysiological basis of non-invasive EEG-based brain-computer interfaces for post-stroke hand recovery and sorts the field into three paradigms: motor imagery with physical feedback, motor imagery with virtual or multisensory feedback, and steady-state visual evoked potential (SSVEP)-driven training. These systems decode sensorimotor-cortex rhythms during imagined hand movement in real time to drive exoskeletons, functional electrical stimulation or virtual reality, closing a Hebbian feedback loop meant to strengthen or remodel damaged pathways in patients whom conventional rehabilitation, which depends on active movement, often cannot reach. Studies confirm the approaches can improve upper-limb function, the review says, but clinical adoption still faces low signal-to-noise ratios, wide individual variability and 'BCI blindness.'

LibriBrain100, a magnetoencephalography (MEG) dataset released on August 25, 2026, contains more than 100 hours of high-quality recordings, about 80 of them from a single subject, the deepest within-subject collection of its kind. It is meant as a standardized benchmark for neural speech decoding and ships with open-source tooling and an online competition; a further 32 subjects contribute roughly 40 minutes each to offset thin per-subject data. Using an existing decoding model, the team reported state-of-the-art results on a word-classification benchmark, which it takes as evidence of both data quality and the value of deep within-subject recording.

Thirty-eight typically developing children aged 8 to 12 used a design application to build their own picture-based interface for a P300 brain-computer interface augmentative and alternative communication (P300-BCI-AAC) system, in a study of what children themselves want from such interfaces. They consistently chose preferred colors, animation — zooming most of all — and sound cues: animation aided visual accessibility and target location, background color changes carried preferred colors into the display, and video GIFs and picture overlays added personal relevance. The authors call motion, color, personalization and visual clarity preliminary priorities for pediatric BCI-AAC design, and point to follow-up work with children who use AAC daily and with people who have motor difficulties.

A Stanford program is recording brain activity in psychiatric inpatients at millisecond precision, combining noninvasive electrode arrays with deep brain recording electrodes to trace the circuits behind schizoaffective disorder, borderline personality disorder, autism and cancer-induced depression. The Human Neural Circuitry program, led by neuroscientist Karl Deisseroth at the Wu Tsai Neurosciences Institute, has run for three years and moves data over fiber-optic and copper links fast enough for round trips of under half a millisecond, allowing the system to sense and respond in a closed loop. Deisseroth said the key innovation is getting results at millisecond precision, which he called a crucial step toward understanding complex psychiatric symptoms.

Chinese insurers have begun introducing BCI-related coverage. Shanghai's 2026 Hu-huibao plan added up to 150,000 yuan for out-of-pocket materials used in inpatient BCI surgery, PICC Property and Casualty underwrote an invasive-BCI surgical accident policy for the Second Affiliated Hospital of Zhejiang University School of Medicine, and China Pacific Property Insurance covered patients receiving Neuracle's NEO implant at Huashan Hospital.

A paper in *Neurorehabilitation and Neural Repair* examines the outcome measures needed as implantable motor BCIs move from safety and feasibility studies toward regulatory approval, reimbursement and sustained clinical use. It calls for valid and reliable assessments that satisfy regulators and payers while reflecting activities that matter to people with severe motor impairment.

Researchers have built an AI model that combines EEG with visual gaze to score a learner's attention and cognitive load at the same time, reporting 91.8% accuracy on attention recognition and 89.4% on cognitive load, with generalization validated on public datasets. They present it as an answer to the noise sensitivity of single-signal monitoring in online learning.

The General Office of China's Zhejiang Provincial People's Government issued Several Measures for Promoting Industry-University-Research Coordination in Brain-Computer Interfaces, document number Zhe Zheng Ban Fa [2026] No. 33, dated July 16, 2026 and released on August 12, comprising 18 measures in five areas. Class II BCI devices of clear clinical value may enter a special review procedure with the timeline cut to within 40 working days, while medical consumables are listed through a green channel within 10 working days. Funding comes in four tiers: up to 10 million yuan for a provincial major science and technology project, up to 8 million yuan for research hospitals deeply involved in preclinical work and product launch, up to 3 million yuan for applied basic research, and 1 million, 500,000 and 100,000 yuan for leading international, national and local standards. Beds used solely for clinical research are exempt from efficiency and DRG performance assessment.

Researchers at Air Force Medical University have published a functional near-infrared spectroscopy (fNIRS) dataset in Scientific Data: frontal hemoglobin responses from 55 young adults, each recorded across three color-word Stroop sessions spread over about two weeks, with more than 30 trials per condition. The authors offer it for work on conflict inhibition, for building decoders for neurofeedback training, and for training large-scale cross-subject fNIRS models.