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June 2026

China's 8 Ministries Push AI-BCI Integration in Consumer Policy

8 Chinese ministries jointly issued a policy document explicitly promoting the integration of AI with brain-computer interface, AR, VR, and MR technologies.
Why it matters This is the first central government departmental document directly linking BCI with AI consumer applications, marking an explicit policy position for BCI technology in China's consumption upgrade strategy.

Dynamic Wavelets Boost Imagined-Speech EEG

A study published in Computers in biology and medicine proposes dynamic wavelet-basis selection to improve non-invasive EEG imagined-speech classification. For each EEG epoch, the method minimizes wavelet entropy to select an informative basis and then injects Gaussian noise into the corresponding coefficients. A convolutional neural network with channel-wise excitation classifies the augmented signals. The dataset contains 32 channels, 8 stimuli, and recordings from 10 participants. The words-vowels combination reached a highest classification accuracy of 98% with a Cohen's kappa of 0.95, although performance was lower for the full class set. The researchers report that the method outperformed conventional augmentation strategies and static wavelet approaches, offering an adaptive way to address noise and non-stationarity in EEG decoding.
Why it matters Adaptive wavelet selection addresses variation between EEG epochs more directly than fixed augmentation, with reported dataset scale and classification results that support reproducible comparison.

Anhui Splits BCI Work Across Three Cities

The General Office of China's Anhui Provincial People's Government issued the Action Plan for Accelerating Brain-Computer Interface Technology and Industry Development in Anhui (2026-2030) on June 15, 2026, document number Wan Zheng Ban Mi [2026] No. 24. Its spatial layout assigns Hefei the role of innovation origination and talent attraction, Bengbu the fabrication and validation of key components on the strength of its smart sensor industry plus a new Longhu Laboratory, and Wuhu clinical translation through a national regional medical centre and a brain science institute at Wannan Medical College. The first main task backs the University of Science and Technology of China in leading a research institute with Chinese Academy of Sciences partners. Targets fall in 2028 rather than 2027, covering at least ten application scenarios, three approved invasive clinical trials, five systems and three backbone firms.
Why it matters Anhui pushed its near-term milestone to 2028, a year later than most provinces, and phrased every target as a floor, making it the most conservative provincial plan. Yet its three-city layout assigns distinct roles rather than merely naming places, and the clinical trial target is explicitly restricted to invasive systems, which raises its substance above the modest wording.

Xiangya IMIE Retina Trial Restores 0.1 Vision

In Xiangya Hospital's invasive IMIE smart retina trial, a 61-year-old fully blind patient reportedly reached 0.03 stable and 0.1 best visual acuity, walking indoors unaided.
Why it matters China's second publicly disclosed visual BCI clinical case, with quantified 0.03-0.1 acuity outcomes that corroborate the Zhejiang implant and show homegrown vision restoration entering multi-site clinical validation

FDA Clears Neuroelectrics Enobio Dx EEG Systems

The FDA cleared Neuroelectrics Barcelona's Enobio Dx line, in 8-, 20- and 32-channel models, on June 13, 2026, finding it substantially equivalent under submission number K261604 through the special 510(k) pathway. The agency classifies it as a Full-Montage Standard Electroencephalograph, a Class II device under regulation 882.1400, with neurology as the assigned review panel. Neuroelectrics is known in neuromodulation and BCI research for noninvasive EEG acquisition and transcranial electrical stimulation hardware.
Why it matters Research-grade EEG hardware only reaches patients once a cleared clinical version exists, and this entry dates that version for a headset already familiar from neuromodulation and BCI labs.

FDA Clears VoxNeuro Cognitive EEG Software

The FDA cleared VoxNeuro's Cognitive Function Neuroimaging (cfNI) Software, version 1.0.0, on June 12, 2026, finding it substantially equivalent under submission number K253015 through the traditional 510(k) pathway. The agency classifies it as Normalizing Quantitative Electroencephalograph Software, a Class II device under regulation 882.1400, with neurology as the assigned review panel. Normalizing quantitative EEG software compares an individual's EEG metrics against a reference population database before reporting, supporting objective assessment of cognitive function.
Why it matters Normative-database qEEG puts the weight of the claim on the reference population rather than on the algorithm, so who is in that database, and whether the patient resembles them, becomes the practical limit on what a cognitive score means.

Hybrid micro-ECoG for multi-scale neural recording

Published in Cell Reports Methods on June 12, 2026, the study presents high-density micro-electrocorticography arrays that integrate silicone elastomers (optical transparency, repeated penetration with intracortical arrays) and polyimide films (fine photolithographic feature definition) for multi-scale studies of brain activity. The combination facilitates high-throughput functional mapping to identify targets and insertion of intracortical arrays for dense local sampling. The authors demonstrated functional mapping in rats, cats and marmosets, guiding multi-area laminar recordings, and demonstrated local and feedforward optogenetic stimulation to investigate cortico-cortical interactions.
Why it matters A hybrid micro-ECoG array combining transparent flexible substrates with fine lithographic features, enabling functional-mapping-guided multi-area laminar recordings, a methodological advance for neural interface devices.

NeuroXess Says Two Paralyzed Patients Played Brain-Controlled Chess 800 km Apart

NeuroXess said two people with high-level paralysis played chess against each other across about 800 kilometers, between Shanghai and Nanchang in eastern China, using its "Triple-Full" (三全) brain-computer interface: one selected and placed pieces on a virtual board by thought, with the commands relayed in real time to a robot stand-in that moved the pieces at the other end, where the second participant gripped physical pieces through a brain-controlled exoskeleton glove. The company said the first participant was implanted at Huashan Hospital, Fudan University, in October 2025, moved a cursor by thought on the fifth day after surgery and reached 5.2 bits per second after 17 days of training, while the second was implanted at the First Affiliated Hospital of Nanchang University in December 2025 and was eating, drinking and writing with a brain-controlled exoskeleton one month after surgery. The outcomes come from the vendor's own account and have not been validated in peer-reviewed publication.
Why it matters Reported as China's first remote brain-controlled interaction between two implanted patients, the demonstration moves NeuroXess's pitch from single-patient capability to networked, multi-site use, though every performance figure here comes from the company rather than from a trial report.

China's Neuracle Files for Shanghai IPO, Seeking RMB 2.5 Billion

The Shanghai Stock Exchange accepted an IPO application from Neuracle, which is seeking RMB 2.5 billion for BCI product development, industrialization and working capital. The filing shows an established non-invasive neurophysiology equipment business alongside invasive products that still require clinical, regulatory and commercialization spending. Acceptance starts the review process and is not approval to list.
Why it matters The prospectus puts Neuracle's revenue, losses, product pipeline and capacity plans into one regulated disclosure, creating a rare public benchmark for China's BCI sector.

Bispectral EEG Separates Grasping Stages

A study published in Computers in biology and medicine applies cross-frequency bispectral analysis to nonlinear EEG activity during the planning and execution of natural reach-to-grasp movements. The researchers extracted magnitude- and phase-based features from complex bicoherence matrices and assessed them through classification, permutation-based feature selection, and within-subject statistics. Execution showed stronger nonlinear coupling than planning, led mainly by beta- and gamma-driven interactions. Decoding precision versus power grasps performed similarly across the two stages, suggesting that grasp-type representations emerge during planning and persist into execution. Compared with conventional analytical baselines, bispectral features provided consistent advantages for grasp-type discrimination and multiclass classification. The findings offer a new set of motor-decoding features for future brain-computer interface and neuroprosthetic research.
Why it matters The study applies higher-order cross-frequency coupling to stage-resolved EEG decoding of natural grasping, providing evidence for more informative time-frequency features in motor BCIs.

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