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

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This study introduces a resting-state Transcranial Magnetic Stimulation (TMS) combined with electroencephalography (EEG) protocol to accurately assess brain network activity changes after a task. The method minimizes biases for reliable offline processing insights.

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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.