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An EEG study finds that unilateral lower-limb motor imagery and motor execution elicit similar lateralized neural activity patterns, extending a lateralization pattern long known in the upper limb to the lower limb.

Researchers combined electroencephalography (EEG)-based passive brain-computer interface (BCI) with eye tracking to decode users' interaction intent in real time during dynamic VR gameplay, reaching 69.64% accuracy in the online closed-loop phase.

A study examining the potential brain risk of BCI electrodes exposed to strong electromagnetic fields applied nuclear electromagnetic pulse (NEMP) irradiation to rats with implanted brain electrodes and recorded local field potentials (LFPs) in the primary motor cortex (M1). At 200 kV/m, NEMP inhibited the alpha and delta LFP bands in resting rats, an effect linked to front-gate coupling between the pulse and the electrode, with the coupled current stimulating the brain and affecting its state of consciousness; the authors frame the work as early animal data for BCI electromagnetic protection.

Researchers at Coherence Neuro Global, Inc. and other institutions have used implanted neural interfaces to track glioma growth in freely behaving mice over time. Across several mouse strains and glioma models, tumor progression went with elevated gamma-band activity in the tumor microenvironment, and machine learning models read tumor burden off the chronic recordings, with gamma trajectories predicting individual growth rates. The work was posted to bioRxiv on July 9, 2026, and has not been peer reviewed.

Harvard Medical School researchers report that spectral analysis of facial movements in rodents predicts both cortical activity and performance on brain-machine interface tasks, a possible biological basis for better neural prosthetic control. The work is a preprint and has not been peer reviewed.

Neurosom announced it has been granted a patent for a method that combines Bayesian statistical modeling with personalized EEG data and brain atlas models to achieve "super-resolution" in locating the origins of brain electrical activity, potentially improving the guidance of transcranial electrical stimulation (TES). The patent, titled "Method for Bayesian Super-Resolution of Electroencephalographic Source Analysis and Transcranial Electrical Stimulation" (US Pat. No. 12,663,866), was announced on July 9, 2026.

A preprint shows that functional ultrasound imaging (fUSI), read through an acoustically transparent cranial-window implant, reliably resolved multi-body-part and single-digit movement encoding in one participant's primary sensorimotor cortex, with maps consistent with classical somatotopy and single-trial decoding supported across sessions; analysis of key decoding voxels suggested different Brodmann areas encode single-digit movement differently. The researchers argue fUSI can map motor representations at submillimeter resolution, filling a key gap in humans between invasive electrophysiology and non-invasive blood-flow imaging; the work has not been peer reviewed.

Sixteen departments in China's Shandong province, led by the Health Commission, issued the Work Plan for Accelerating Clinical Translation and Application Innovation of Brain-Computer Interfaces, document number Lu Wei Yi Zi [2026] No. 13, dated July 7, 2026 and released on July 8. It is the only provincial BCI document led by a health authority and Shandong's second after the science department's industry plan. The plan advances a positioning it summarises as validated in Shandong, applied globally, working through an alliance, scenarios, policy and industry follow-through. Targets rise in four steps: an operating clinical research alliance in 2026; about 20 core technology breakthroughs and 30 technology SMEs by 2027; at least 30 alliance members, more than 20 foreign and domestic teams setting up validation bases, more than 30 multicentre projects and a 2 billion yuan industry by 2028; and a national validation cluster by 2030.