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Instrumentation For TMS-EEG Experiment: ArTGen and A Custom EEG Interface
  • +2
  • Giuseppe Varone,
  • Wadii Boulila,
  • Angelo Pascarella,
  • Sara Gasperini,
  • Umberto Aguglia
Giuseppe Varone

Corresponding Author:[email protected]

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Wadii Boulila
Angelo Pascarella
Sara Gasperini
Umberto Aguglia


Transcranial magnetic stimulation (TMS) and electroencephalography (EEG) experiments usually require two researchers in the laboratory. This study addresses the challenge faced by a single researcher in initiating or pausing the experiment while handling the TMS coil. It introduces the Arduino Trigger Generator (ArTGen) for controlling the timing of TMS experiments. Additionally, a custom printed circuit board (PCB) is developed for use the eego™mylab amplifier with commercial EEG caps. Methods and procedures: The ArTGen enables precise timing of the TMS stimulator's inter-pulse intervals (IPI), controlled by a footswitch pedal, affording researchers greater control over TMS-EEG experiments. The PCB interface offers a cheap solution to extend eego ™ mylab amplifier. We validated the integration of our PCB interface in a custom TMS-EEG setup via analysis of TMS-evoked potentials (TEP), global mean field power (GMFP), butterfly plots, and event-related spectral potentials (ERSPs). Results: The PCB did not introduce EEG signal distortion or noise, validating its design and components. Channel-wise consistency checks across the EEG cap, EIB64, amplifier, and software layout further confirmed data integrity. The portability of ArTGen and the footswitch's capabilities reduce the need for additional personnel, improving experimental control in TMS-EEG research or clinical settings. Conclusion: The ArTGen is a robust remote control tool for TMS stimulators, and our PCB interface offers a solution for integrating a customized TMS-EEG setup. These findings fill a gap in current TMS-EEG research, providing innovative methodological improvements that enhance experimental flexibility and streamline procedures.
24 Mar 2024Submitted to TechRxiv
30 Mar 2024Published in TechRxiv