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Researchers propose an injectable, in-situ-gelling multifunctional hydrogel to address the failure modes of micro-ECoG cortical recording — dural barrier disruption, cortical micromotion that weakens device-tissue coupling, and biofouling that triggers a foreign-body response. Combining dopamine-grafted sodium alginate with branched polyethyleneimine, the hydrogel forms a quasi-zwitterionic network that resists nonspecific protein adsorption and provides catechol-mediated wet adhesion, gelling rapidly under surgical-compatible conditions through dual macromolecular crosslinking without diffusible small-molecule monomers. Integrated with a 128-channel flexible micro-ECoG mesh array, the platform reduced glial activation and fibrotic encapsulation and preserved stable, high-fidelity cortical recording over the 3-week early chronic period. The authors say co-designing barrier repair, interface adhesion and antifouling in a single material can improve long-term function.

Researchers transferred dexamethasone-loaded titania nanotube arrays (TNA) onto a mechanically adaptive polymer nanocomposite (NC) substrate and, in a mouse model, compared four implants — silicon, NC, TNA-NC Empty and TNA-NC DEX (10 mice per group) — for neuroinflammation around intracortical microelectrodes at 2 and 4 weeks. At 2 weeks the gene-expression profiles were broadly similar, reflecting an early acute injury response; by 4 weeks the patterns diverged, with NC-based implants showing fewer differentially expressed neuroinflammatory genes than rigid silicon, led by TNA-NC Empty, while the dexamethasone group showed no additional benefit, suggesting drug delivery still needs optimization. The authors conclude that adding a TNA layer to flexible materials promotes resolution of the neuroinflammatory response at 4 weeks.

MVCLDG combines raw EEG and Hilbert-derived phase information with domain-alignment and contrastive-learning constraints to improve classification across unseen users. It outperformed baseline and representative domain-generalization methods on a public error-related-negativity dataset and a semantic-syntactic-violation dataset without target-domain adaptation; ablation and activation-map analyses supported the contribution and neurophysiological plausibility of its components.

Guangdong issued a provincial BCI action plan targeting 100 new tech companies, 200 BCI hospital wards and a ten-billion-yuan industry by 2030.

A study published in Computers in biology and medicine introduces LEGEND, a neural-decoding architecture that jointly models cortical EEG, spinal ESG, and peripheral-muscle EMG for a neural bypass in spinal cord injury rehabilitation. The model encodes the three signal modalities in Lorentz hyperbolic space, connects 51 channel nodes through a signed tri-layer phase-locking-value graph, and refines the representation with graph attention. Under strict leave-one-subject-out evaluation on the Steele dataset, LEGEND achieved 56.51%±12.27% accuracy, 23.4 percentage points above EEGNet. The researchers argue that hyperbolic representations can capture complex relationships across the motor hierarchy, providing a computational foundation for rehabilitation decoding that links brain, spinal, and muscle activity.

The FDA cleared the Ceribell Neurology Review Software on June 24, 2026, finding it substantially equivalent under submission number K260998 through the traditional 510(k) pathway. The agency classifies it as Automatic Event Detection Software for Full-Montage Electroencephalograph, a Class II device under regulation 882.1400, with neurology as the assigned review panel. The category covers software that automatically flags events within full-montage EEG recordings, surfacing candidate segments from long records for clinician review.

The trial compares motor imagery BCI plus standard rehabilitation against standard rehabilitation alone in stroke patients with hemiplegia, tracking limb motor function and daily living ability. It planned to enroll 60 participants, 30 per arm, with the first participant enrolled on August 10, 2022; the registry now lists the study as completed. Beyond motor scales, the primary outcomes include functional connectivity and a lateralization index measured with fNIRS, probing brain-network changes rather than behavior scores alone.

Using implantable brain-machine interface (iBMI) data from a non-human primate two-dimensional finger task, the study tests whether brain-muscle synergies improve decoding performance and generalization. Principal component analysis (PCA), demixed PCA (dPCA) and non-negative matrix factorization (NMF) all compressed brain-muscle data effectively with minimal decoding-accuracy loss, but none improved performance through denoising or enhanced cross-task generalization. The authors conclude that extracting synergies alone does not yield a better or cleaner control space for linear decoding, and call for larger samples and more muscle channels.

Researchers at Lanzhou University, Zhejiang University, the University of Hong Kong and Sun Yat-sen University have built MindShow, a unified generative framework that reconstructs images from fMRI at cohort level rather than one subject at a time. A hierarchically conditioned mixture-of-experts encoder separates population-shared latent representations from subject-specific neural traits, so a new subject can be adapted with limited calibration data; a gated Perceiver bottleneck maps fMRI features into fixed-size image and text tokens, an optimal transport loss aligns them with a pretrained vision-language model, and a frozen diffusion model renders the image. The authors report better high-level reconstruction metrics with competitive structural fidelity, in a study published in Medical Image Analysis on June 20, 2026.

OYMotion and MicroPort NeuroScientific signed a strategic cooperation agreement on May 28, 2026 to jointly develop an interventional brain-computer interface rehabilitation system. The first product will be a multi-channel endovascular BCI that threads a signal-recording stent through the blood vessels to a target brain region, capturing intracranial electrical activity without opening the skull. MicroPort NeuroScientific will build the BCI system as a whole and OYMotion the limb side, with the pair targeting medical rehabilitation and human-machine interaction.