Selecting stimulation intensity in repetitive transcranial magnetic stimulation studies: A systematic review between 1991 and 2020
Code and raw data for our paper "Selecting stimulation intensity in repetitive transcranial magnetic stimulation studies: A systematic review between 1991 and 2020"
If you want to use this data/analysis in a research publication, please cite our paper.
Here, you can find the preprint of the paper.
Turi Z, Lenz M, Paulus W, Mittner M, Vlachos A. Selecting stimulation intensity in repetitive transcranial magnetic stimulation studies: A systematic review between 1991 and 2020. Eur J Neurosci. 2021 May;53(10):3404-3415. doi: 10.1111/ejn.15195. Epub 2021 Apr 10. PMID: 33754397.
@article{turi2021selecting,
title={Selecting stimulation intensity in repetitive transcranial magnetic stimulation studies: A systematic review between 1991 and 2020},
author={Turi, Zsolt and Lenz, Maximilian and Paulus, Walter and Mittner, Matthias and Vlachos, Andreas},
journal={Eur J Neurosci},
volume={53},
number={10},
pages={3404--3415},
year={2021},
publisher={Wiley-Blackwell}
}
The content of the repository is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Analysis are coded in R. A moderate amount of R-packages are required listed in docs/sessionInfo.txt.
This repository uses the ProjectTemplate directory layout.
Raw data is located in data/raw
and is provided in .xlsx
format.
The .R
scripts located in data
load the raw files into R
workspace.
Relevant variables are coded as follows:
pdf_name
- format: firstAuthor_yearOfPublication_journal_pubmedIDtyp
- type of rTMS- rTMS: conventional rTMS (e.g., 1 Hz, 10 Hz, etc.)
- iTBS: intermittent theta burst stimulation
- cTBS: continuous theta burst stimulation
- QPS: quadripulse stimulation
frq
- intraburst frequencysi_app
- stimulation intensity selection approach- AMT: active motor threshold
- RMT: resting motor threshold
- MT: unspecified motor threshold
- FL: functional lesion
- PT: phosphene threshold
- FXD: fixed intensity
- EF: electric field
th_strat
- threshold-estimation strategies- ML: method of limit
- 5STEP: 5 step procedure
- TH: threshold hunting
- MLTH: maximum likelihood based threshold hunting
- PEST: parameter estimation by sequential testing
- MTAT: TMS Motor Threshold Assessment Tool
th_meas
- threshold measurement- E: electrode
- V: visual
mt_uV
- amplitude of the motor evoked potential in microvoltth_ri
- threshold ratio (e.g., 3_6: 3 out of 6)mt_contr
-percentage or the amplitude of the motor threshold contraction (e.g., 10%-10% of the maximum contraction)si_pct
- percent of stimulation intensitysi_pct_min
- percent of stimulation intensity (min value)si_pct_max
- percent of stimulation intensity (max value)mso
- maximum stimulator outputstim_co
- stimulator companystim_mo
- stimulator modelcoil_shp
- coil shapecoil_siz
- coil sizecoil_mo
- coil modelnote
- notecontrib_id
- contributor id
All analyses are located in src/
. To run the scripts, you need to
have the ProjecTemplate
package and various other packages
installed.
The first two lines in each file
library(ProjectTemplate)
load.project()
convert the raw data into a more convenient format by
- running the
data/<dataset>.R
file - running the preprocessing scripts in
munge