4.6 Article

The Brain Electrophysiological recording & STimulation (BEST) toolbox

Journal

BRAIN STIMULATION
Volume 15, Issue 1, Pages 109-115

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.brs.2021.11.017

Keywords

TMS; tES; TUS; EEG; EMG; fMRI; TMS-EEG; TEP; Closed-loop; Real-time; Brain state-dependent stimulation; Brain stimulation; MEP; Automation

Funding

  1. Boehringer Ingelheim Foundation (BIF)
  2. German Research Foundation (DFG) [362546008]
  3. German Federal Ministry for Economic Affairs and Energy (EXIST Transfer of Research Grant) [03EFJBW169]

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Non-invasive brain stimulation experiments lack standardized procedures and require automated tools to increase objectivity, reliability, and reproducibility. The BEST Toolbox is a MATLAB-based software that allows users to design, run, and share multi-protocol NIBS studies, providing analysis of EMG and EEG data with real-time stimulation parameter configuration.
Non-invasive brain stimulation (NIBS) experiments involve many recurring procedures that are not sufficiently standardized in the community. Given the diversity in experimental design and experience of the investigators, automated but yet flexible data collection and analysis tools are needed to increase objectivity, reliability, and reproducibility of NIBS experiments. The Brain Electrophysiological recording and STimulation (BEST) Toolbox is a MATLAB-based, open-source software with graphical user interface that allows users to design, run, and share freely configurable multi-protocol, multi-session NIBS studies, including transcranial magnetic, electric, and ultrasound stimulation (TMS, tES, TUS). Interfacing with a variety of recording and stimulation devices, the BEST toolbox analyzes EMG and EEG data, and configures stimulation parameters on-the-fly to facilitate closed-loop protocols and real-time applications. Its functionality is continuously expanded and includes e.g., TMS motor hotspot search, threshold estimation, motor evoked potential (MEP) and TMS-evoked EEG potential (TEP) measurements, doseresponse curves, paired-pulse and dual-coil TMS, rTMS interventions. (c) 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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