Raw data, dataset and script for the study 'Effect of TMS current direction and pulse waveform on cortico-cortical connectivity: A registered report TMS-EEG study' by Guidali, Zazio, Lucarelli, Marcantoni, Stango, Barchiesi & Bortoletto (2023)
The different folders contains the following materials:
'Raw data MEP and TEP' folders
Folders contains the raw .mat files from g.tech amplifier of every participants (one folder for each participant). Here, each file contains metadata about the sampling rate and the name of the subject (S01, S02, and so on) and the experimental condition, as follows:
Mo_PA = monophasic PA direction
Mo_AP = monophasic AP direction
Mo_LM = monophasic LM direction
Bi_PA = biphasic PA direction
Bi_AP = biphasic AP direction
Bi_LM = biphasic LM direction
Bi_PA_Contr = biphasic PA with ipsilateral hand contracted
MEP recording contains also the specification 'MEP' at the end of the experimental condition name
Folders in Raw data are also timestamped to notify that collection occured after Stage 1 in principle acceptance date
'Dataset and analysis' folder
Contains .omv (for software Jamovi) and .r files (for software R) of the analysis. Name of the file indicates the analysis in that file.
.omv files also contain datasets used for the analysis.
For analysis conducted using R software, .csv files containing the datasets are provided.
'Script preprocessing EMG-EEG' folder
Contains .m files of the two preprocessing pipelines (TEP and MEP) and the script used for the extraction of M1-P15 values.
For TEPs, it also contains:
'Script task' folder
Contains .m files of the tasks to trigger TMS pulses in the different experimental conditions. Each file has been commented to provide a step-by-step guide to the different scripts and functions.
'Laboratory log' file
Contains information about time table of the experiment (mandatory for European Journal of Neuroscience).
'Subject_info' file
Contains anonimized demographic and TMS informations (i.e., resting motor threshold for every experimental condition) about the participants of our final sample.
For additional info contact:
Giacomo Guidali, PhD - giacomo.guidali@unimib.it
Marta Bortoletto, PhD - mbortoletto@fatebenefratelli.eu