Protocol to assess changes in brain network resistance to perturbation during offline processing using TMS-EEG.

Area of Science:

• Neuroscience
• Cognitive Science
• Brain Network Analysis

Background:

• Transcranial Magnetic Stimulation (TMS) and electroencephalography (EEG) are key tools for studying brain activity and connectivity.
• Assessing network changes during offline processing after cognitive tasks requires precise methodologies to minimize inherent biases.

Purpose of the Study:

• To present a standardized resting-state TMS-EEG protocol for evaluating brain network activity changes.
• To detail experimental design, setup, data collection, and analysis steps for accurate offline processing assessment.

Main Methods:

• Utilized a controlled experimental design combining resting-state TMS with EEG.
• Implemented a protocol focusing on minimizing biases during data acquisition and analysis.
• Described procedures for experimental planning, participant preparation, and data processing.

Main Results:

• The developed protocol enables accurate assessment of brain network activity changes during offline processing.
• The methodology effectively minimizes confounding factors often associated with TMS-EEG studies.
• Demonstrated a reliable approach for investigating task-induced network modifications.

Conclusions:

• The presented resting-state TMS-EEG protocol offers a robust method for studying brain network dynamics.
• This standardized approach enhances the reliability and accuracy of assessing offline processing in connected brain networks.
• The protocol serves as a valuable tool for researchers investigating brain plasticity and network function.