Advanced Artifact Removal for Automated TMS-EEG Data Processing

Transcranial magnetic stimulation (TMS) with concurrent electroencephalography (EEG) is a key tool towards non-invasively characterizing causal circuits in humans. However, the recorded data is highly noisy due to a variety of stimulation-induced artifacts and other noise sources. While many TMS-EEG processing pipelines require manual intervention, the pipeline described here is fully automated. As part of this pipeline, we introduce several novel approaches specifically designed to mitigate TMS-induced artifacts to produce cleaner and more reliable TMS-evoked EEG responses.