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TMS-evoked responses are driven by recurrent large-scale network dynamics.

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  • 1Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Canada.

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Summary

Researchers used transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to study brain activity. They found that early brain responses are local, while later responses involve network feedback, distinguishing between them using computational modeling.

Keywords:
computational modelconnectomeelectroencephalographyhumanneural mass modelneurosciencerecurrencetranscranial magnetic stimulation

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Brain Dynamics

Background:

  • Understanding complex brain activity requires analyzing responses to perturbations.
  • Transcranial Magnetic Stimulation (TMS) combined with Electroencephalography (EEG) offers non-invasive human brain perturbation.
  • Transcritical magnetic stimulation-EEG evoked potential (TEP) complexity is debated: local dynamics vs. network feedback.

Purpose of the Study:

  • To differentiate TEP components arising from local neural dynamics versus recurrent network activity.
  • To investigate the role of inhibitory GABAergic populations in cortical excitability.
  • To develop methods for analyzing brain responses to TMS-EEG.

Main Methods:

  • Source-localized TMS-EEG analyses.
  • Whole-brain connectome-based computational modeling.
  • Subject-specific estimation of neurophysiological parameters.

Main Results:

  • Recurrent network feedback influences TEP responses starting around 100 ms post-stimulation.
  • Earlier TEP components are attributed to local reverberatory activity within the stimulated region.
  • GABAergic neural populations significantly modulate cortical excitability, impacting TEP waveforms.

Conclusions:

  • Distinguishing local brain dynamics from network feedback in TEP is achievable.
  • Computational modeling and source localization are key to understanding TEP origins.
  • TEP analysis provides insights into inhibitory neurotransmission and cortical excitability.