IEEE Transactions on Biomedical Engineering

Endovascular EEG recorded approximately 3.7 times the power of concurrent scalp EEG in 5 patients undergoing an intracarotid amobarbital injection, known as the Wada test, and the nearest endovascular-scalp electrode pairs showed consistently higher coupling in every participant, a mean difference of 4.9 percentage points ranging from 1.8% to 7.6% across individuals and most pronounced at separations under 30 mm. Endovascular EEG has emerged as a brain monitoring technique that balances signal fidelity against invasiveness, the authors write, matching subdural recordings in bandwidth and signal-to-noise ratio in animal studies, but its signal properties have been sparsely quantified in people. All signals were preprocessed with artifact rejection and independent component analysis, then assessed with power spectral density, imaginary coherence, phase-locking value and amplitude envelope correlation.

Researchers propose ReCIL, a rehearsal-based class incremental learning method for cross-subject motor imagery classification that lets a model learn new MI classes sequentially without retraining from scratch. Using Euclidean alignment to reduce cross-subject EEG distribution shift and global-local replay to preserve earlier-task knowledge, ReCIL achieved a good balance between plasticity and stability across three public MI datasets. The authors report it as the first study of cross-subject class incremental learning for MI classification.

ChatBCI-Assist integrates a locally deployed LLM with adaptive stopping, achieving record P300 speller online ITR of 105.2 bits/min and 30.7 CPM in semantic spelling.