The Brain Electrophysiological recording & STimulation (BEST) toolbox

Area of Science:

• Neuroscience
• Biomedical Engineering
• Computational Neuroscience

Background:

• Non-invasive brain stimulation (NIBS) protocols lack standardization across research groups.
• Variability in experimental design and investigator experience impacts objectivity and reproducibility.
• Automated, flexible tools are crucial for advancing NIBS research.

Purpose of the Study:

• To introduce the Brain Electrophysiological recording and STimulation (BEST) Toolbox.
• To provide a standardized, open-source software solution for NIBS experiments.
• To enhance data collection, analysis, and reproducibility in NIBS.

Main Methods:

• Developed a MATLAB-based, open-source software with a graphical user interface.
• Integrated support for transcranial magnetic, electric, and ultrasound stimulation (TMS, tES, TUS).
• Enabled flexible configuration of multi-protocol, multi-session studies with real-time adjustments.

Main Results:

• The BEST Toolbox interfaces with diverse recording and stimulation devices.
• It facilitates on-the-fly analysis of EMG and EEG data.
• Supports advanced protocols like closed-loop stimulation, motor hotspot search, and dose-response curves.

Conclusions:

• The BEST Toolbox significantly improves objectivity, reliability, and reproducibility in NIBS research.
• It offers a flexible platform for designing, running, and sharing complex NIBS experiments.
• Continuous expansion ensures the toolbox remains a valuable asset for the NIBS community.