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Updated: Jul 4, 2025

Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex
Published on: August 17, 2018
Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS.
Giovanni Pellegrino1, Anna-Lisa Schuler2, Zhengchen Cai3
1Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
This study shows that gamma band phase synchrony in electroencephalography (EEG) best estimates changes in cortical excitability, correlating with Transcranial Magnetic Stimulation (TMS) measures. Other EEG measures showed less consistency.
Area of Science:
- Neuroscience
- Neurophysiology
- Biophysics
Background:
- Cortical excitability reflects neural reactivity, often measured by Transcranial Magnetic Stimulation (TMS).
- The balance between neural excitation and inhibition (E/I) is crucial for brain function.
- Electroencephalography (EEG) offers non-invasive methods to estimate intrinsic E/I balance.
Purpose of the Study:
- To determine how different EEG-derived E/I estimates correlate with TMS-measured cortical excitability.
- To assess the inter-consistency of various EEG E/I measures.
Main Methods:
- Assessed primary motor cortex (M1) excitability using TMS before and after intermittent theta burst stimulation (iTBS).
- Recorded resting-state EEG to calculate multiple E/I estimates.
- Compared TMS excitability measures with EEG E/I estimates.
Main Results:
- Increased TMS M1 excitability correlated with enhanced gamma band phase synchrony in EEG.
- Other EEG E/I measures showed some expected outcomes but lacked correlation with TMS measures or inter-consistency.
Conclusions:
- EEG-based E/I estimates provide a promising, non-invasive tool for mapping cortical excitability with high resolution.
- Spatial phase synchrony in the gamma band emerges as the most reliable EEG measure for capturing M1 excitability changes induced by neuromodulation.
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