eeg-and-brain-computer-interfaces

China’s National Medical Products Administration (NMPA) on Monday approved the release of its third medical device standard for brain-computer interfaces (BCIs), which is also the world’s first medical device product standard for BCIs that uses artificial intelligence (AI) technology to process brain electrical signal data. The new standard will officially take effect on September 1, […]

China has introduced what it says is the world's first medical-device standard for brain-computer interfaces (BCIs) that use AI to process electroencephalogram (EEG) data, marking a step toward tighter regulation and commercialization of the emerging technology.

Nature Neuroscience, Published online: 14 September 2026; doi:10.1038/s41593-026-02446-2 Brosler et al. develop a brain–computer interface that simultaneously decodes speech and gestures from a single cortical implant to animate a virtual avatar, providing a step toward more flexible communication for people with paralysis.

In the latest advance in brain-computer interfaces, a company said its wireless device enabled speech even when a patient just imagined saying words.

Nature, Published online: 14 September 2026; doi:10.1038/d41586-026-02895-6 A neural device uses artificial intelligence to read brain activity for intended words and gestures simultaneously.

Previous brain implants have enabled people with paralysis to either speak or move, but a new, larger one enabled them to do both simultaneously via an avatar

Nature Reviews Neuroscience, Published online: 14 September 2026; doi:10.1038/s41583-026-01082-w In this Journal Club, Yu Qi discusses a 2021 study that reported a brain–computer interface that used neural activity in the motor cortex to decode attempted handwriting in real time.

In the latest advance in brain-computer interfaces, a company said its wireless device enabled speech even when a patient just imagined saying words.

Transcranial direct current stimulation (tDCS) is a promising intervention for chronic disorders of consciousness (DoC), yet therapeutic responsiveness varies substantially across patients and does not conform to diagnostic boundaries. Contemporary theories of consciousness implicate the posterior parietal cortex as a critical node for conscious processing, but the electrophysiological mechanisms…

BackgroundBrain-computer interfaces (BCI) using motor imagery (MI) offer promising rehabilitation potential for upper limb function in stroke survivors. Conventional paradigms rely on abstract visual feedback, which may lack ecological validity and could limit neural recruitment. Action observation (AO) and object affordance (OA) independently modulate motor cortical excitability via the mirror n…

Conventional Brain-Computer Interfaces (BCIs) typically rely on sequential selection mechanisms, limiting communication speed and increasing dependence on preserved sensory or motor pathways. Semantic BCIs (sBCIs) aim to overcome this limitation by decoding concepts directly from neural activity. Owing to the continuous nature of semantic processing, progress in this domain requires a principled …

Virtual reality is replacing simple computer screens in brain-training therapies. While immersive 3D worlds can make treatment more engaging, new research highlights the hidden challenges of bringing virtual environments into the clinic.

IntroductionActive brain–computer interfaces (BCIs) aim to enable communication and control without requiring physical movement. BCIs operate by detecting and decoding distinct patterns of brain activity associated with intentionally-generated mental tasks and translating them into commands for external devices. Motor imagery (MI) tasks involving the imagined movement of body parts are the most c…

IntroductionAccurate movement intention recognition is essential for intelligent rehabilitation systems, wearable assistive devices, and human–machine interaction. Electroencephalography (EEG) reflects cortical motor intention and cognitive regulation, whereas surface electromyography (sEMG) provides peripheral muscle activation information related to movement execution. Although EEG–EMG fusion c…

Sleep does much more than give the body a chance to rest. While we sleep, the brain goes through important changes that may help clear away substances produced during normal daily activity. Scientists are increasingly interested in this nighttime cleaning process because poor removal of waste may be connected with brain aging and disease. A […] The post This Gentle Sound May Boost the Brain’s Nig…

Advances in brain–computer interfaces (BCIs), longitudinal personal data, and generative artificial intelligence have made it increasingly plausible to build persistent computational models of individual cognition. These systems, referred to here as cognitive digital twins (CDTs), may model, predict, simulate, or act as partial communicative and decisionmaking proxies for a person. However, the t…

Motor Imagery-based (MI) Electroencephalography (EEG) has emerged as a leading solution in non-invasive Brain-Computer Interface (BCI) systems, leveraging its strong motor intention correlation to enable reliable neural decoding. However, practical implementation of MI confronts three persistent challenges: low signal-to-noise ratio, substantial variability across subjects or over time, and inher…

Motor disabilities like amyotrophic lateral sclerosis (ALS), or high-level paraplegia severely affect patient's interaction with their environment and independence. Brain-computer interfaces (BCIs) are an essential technology linking neural activity to external devices to recover lost functions. Advances in signal acquisition and decoding algorithms have greatly enhanced the accuracy and stabilit…

Brain-computer interfaces (BCIs) can provide patients with severe motor disorders with a new way to bypass damaged nerve pathways and control external devices by decoding the nerve activity of the motor cortex. Current research has made progress in continuous movement, multi-degree-of-freedom control and sensory feedback, but long-term stability, control accuracy and clinical safety are still lim…

Nature Neuroscience, Published online: 07 September 2026; doi:10.1038/s41593-026-02447-1 Implanted brain–computer interfaces hold great promise for restoring communication and other functions and for revealing new aspects of human brain physiology. Yet as the number of implantations in humans expands, ethical clarity must keep pace with technical ambition. We propose that this should involve dist…