TMS EEG Signal Cleaning Pipeline Validated for Closed-Loop Neurostimulation

Researchers have developed and validated a cleaning pipeline for transcranial magnetic stimulation (TMS) EEG signals, aimed at improving data quality for closed-loop neurostimulation. The study, published on arXiv (2605.08184), evaluates two widely used artifact removal pipelines and establishes a reference dataset of carefully preprocessed EEG signals to support future algorithm development. Despite the absence of a true physiological ground truth, the proposed workflow demonstrates robustness in improving signal quality and preserving TMS-evoked potentials. A key goal is integrating TMS EEG within a larger brain-computer interface (BCI) framework to enhance understanding of cortical dynamics.