T4TE Project 1
Motor TMS-Evoked Potentials (M1-TEPs)
The T4TE Project 1 aims at investigating the reliability, validity and possible biomarkers development of the TMS-Evoked Potentials (TEPs) elicited by stimulating the primary motor cortex (M1) through multiple studies
Study 1.1 Reliability of M1-TEPs
Progress: Joining labs had the second online meeting on March 3rd. Stay tuned!
The main aim of Study 1.1 is testing the reliability of TEPs elicited by stimulating M1 to variations in procedures across labs. Specifically, Study 1.1 is designed to disentangle the effects of flexibility in data acquisition and in data processing on TEPs. Moreover, it will investigate the direct effect of flexibility on: a) the comparison of TEPs in trials of high and low cortical excitability, as indexed by motor-evoked potentials (MEPs), and b) the effect of prestimulus oscillations on TEPs.
Study 1.1 is currently working on the preparation of Ethics documentation and the Registered Report Stage 1.
Participation in T4TE - Study 1.1 is open to single researchers, research groups and labs, who can join either collecting or analysing data or both.
Requirements for data acquisition
Meet the minimum criteria in equipment settings for TMS-EEG coregistration:
TMS: Monophasic or biphasic TMS with standard figure-of-eight coil
EEG: Sampling rate > 4000 Hz, High-pass filter: DC recording or < 0.1 Hz, Low-pass filter > 1000 Hz; Channels > 60 passive or active placed according to the 10-10 International EEG system
EMG: At least 3 bipolar channels, Sampling rate > 1000 Hz
Commitment to collect 25 young healthy participants
Show evidence of high-quality data collection in the “quality check” phase of the study (before data collection)
Provide a detailed report on the acquisition procedures
Share the raw data and meta-files in open repositories
Requirements for data analyses
Commitment to analyse three datasets (of which at least two recorded from other labs)
Provide a detailed report of the analyses pipeline
Show evidence of quality checks before performing the analyses
Share codes and preprocessed data in open repositories
If you do not meet the requirements but would like to contribute, please let us know.
3 authors for participating in data collection only
1 author for participating in data analysis only
4 authors for participating in both data collection and analysis