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.

Citation

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}
}

License

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.

Requirements

Analysis are coded in R. A moderate amount of R-packages are required listed in docs/sessionInfo.txt.

Setup

This repository uses the ProjectTemplate directory layout.

Data

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_pubmedID
• typ - 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 frequency
• si_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 microvolt
• th_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 intensity
• si_pct_min - percent of stimulation intensity (min value)
• si_pct_max - percent of stimulation intensity (max value)
• mso - maximum stimulator output
• stim_co - stimulator company
• stim_mo - stimulator model
• coil_shp - coil shape
• coil_siz - coil size
• coil_mo - coil model
• note - note
• contrib_id - contributor id

Analyses

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

1. running the data/<dataset>.R file
2. running the preprocessing scripts in munge