/ EN

Radboud University Nijmegen

2 entries
July 2026

Preprint: MRI Grey Matter Loss May Predict Who Can Control an ECoG BCI in ALS

A preprint from the Utrecht-BCI Lab at the UMC Utrecht Brain Center in the Netherlands, the invasive-BCI group led by Nick Ramsey, asks why some people with ALS control an implanted brain-computer interface (BCI) better than others. It found that preservation of grey matter in the motor cortex is associated with higher-quality brain signals, suggesting an MRI-based measure could help identify who is a suitable candidate for implantation. The preprint was posted to medRxiv on June 23, 2026 (DOI 10.64898/2026.06.23.26355654).
January 2026

Researchers Say BCIs Should Decode User Goals, Not Motor Cortex Signals

Researchers in Germany, the Netherlands and Japan argue in an opinion piece that brain-computer interface design should be rebuilt around ideomotor theory, which treats voluntary action as driven by internally represented sensory outcomes. BCI research has made remarkable technical progress but remains limited in scope, the authors write, typically relying on motor and visual cortex signals in a narrow range of patient populations, and they describe this underused framework as a principled basis for next-generation interfaces that align more closely with the brain's own intentional and action-planning architecture. Reorganizing BCIs around the purpose of an action, meaning the user's goals and anticipated effects, would be a more intuitive, generalizable and scalable path, they suggest, and advances in neural recording and artificial intelligence-based decoding of sensory representations make the shift feasible and timely, potentially easing persistent usability and generalizability problems in BCI design.
© 2026 BCIwiki.com Digest Topics Tips Subscribe Revisions About