To facilitate objectivity, reliability, and reproducibility of non-invasive brain stimulation (NIBS) studies and to empower students, researchers, and clinicians alike to conduct state-of-the-art multimodal NIBS studies, an automated but yet flexible tool for data collection and analysis is needed.
B rain E lectrophysiological recording and ST imulation ( BEST ) Toolbox is an easy-to-use MATLAB-based open-source software with a powerful graphical user interface (GUI), which allows the user to flexibly design, run, analyze, and share multi-protocol/multi-session NIBS studies, involving transcranial magnetic, electric, and ultrasound stimulation (TMS, tES, TUS) in combination with EMG, EEG, and fMRI.
The BEST toolbox interfaces with a large variety of recording and stimulation devices to analyze data and set stimulation parameters on-the-fly, thereby enabling closed-loop protocols and real-time applications. Its growing functionality includes e.g., TMS motor hotspot search, automated motor threshold estimation, measurement of motor evoked potentials (MEP) and TMS-evoked EEG potentials (TEP), dose-response curves, paired-pulse and dual-coil TMS, rTMS interventions, real-time EEG-triggered stimulation, co