The Brain Electrophysiological recording & STimulation (BEST) toolbox

The Brain Electrophysiological recording & STimulation (BEST) toolbox

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 inc...

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Autores principales: Umair Hassan, Steven Pillen, Christoph Zrenner, Til Ole Bergmann
Formato: article
Lenguaje:EN
Publicado: Elsevier 2022
Materias:
TMS
tES
TUS
EEG
EMG
fMRI
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Acceso en línea:https://doaj.org/article/75318f8b0581464e9432f986fb532408
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spelling oai:doaj.org-article:75318f8b0581464e9432f986fb5324082021-11-26T04:26:35ZThe Brain Electrophysiological recording & STimulation (BEST) toolbox1935-861X10.1016/j.brs.2021.11.017https://doaj.org/article/75318f8b0581464e9432f986fb5324082022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1935861X21008329https://doaj.org/toc/1935-861XNon-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, dose-response curves, paired-pulse and dual-coil TMS, rTMS interventions.Umair HassanSteven PillenChristoph ZrennerTil Ole BergmannElsevierarticleTMStESTUSEEGEMGfMRINeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Stimulation, Vol 15, Iss 1, Pp 109-115 (2022)
institution DOAJ
collection DOAJ
language EN
topic TMS
tES
TUS
EEG
EMG
fMRI
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle TMS
tES
TUS
EEG
EMG
fMRI
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Umair Hassan
Steven Pillen
Christoph Zrenner
Til Ole Bergmann
The Brain Electrophysiological recording & STimulation (BEST) toolbox
description 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, dose-response curves, paired-pulse and dual-coil TMS, rTMS interventions.
format article
author Umair Hassan
Steven Pillen
Christoph Zrenner
Til Ole Bergmann
author_facet Umair Hassan
Steven Pillen
Christoph Zrenner
Til Ole Bergmann
author_sort Umair Hassan
title The Brain Electrophysiological recording & STimulation (BEST) toolbox
title_short The Brain Electrophysiological recording & STimulation (BEST) toolbox
title_full The Brain Electrophysiological recording & STimulation (BEST) toolbox
title_fullStr The Brain Electrophysiological recording & STimulation (BEST) toolbox
title_full_unstemmed The Brain Electrophysiological recording & STimulation (BEST) toolbox
title_sort brain electrophysiological recording & stimulation (best) toolbox
publisher Elsevier
publishDate 2022
url https://doaj.org/article/75318f8b0581464e9432f986fb532408
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