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Updated: May 21, 2026

The Combination of Transcranial Alternating Current Stimulation and Electroencephalogram
Published on: October 10, 2025
Combining transcranial electrical stimulation with electroencephalography: a multimodal approach.
Carlo Miniussi1, Debora Brignani, Maria C Pellicciari
1Department of Biomedical Sciences and Biotechnologies, University of Brescia, Italy. carlo.miniussi@cognitiveneuroscience.it
Combining transcranial electrical stimulation (tES) with electroencephalography (EEG) offers new insights into brain network dynamics. This innovative approach enhances understanding of tES effects on neural activity and human brain function.
Area of Science:
- Neuroscience
- Brain-Computer Interfaces
- Neuromodulation
Background:
- Transcranial electrical stimulation (tES) is widely used, but its precise effects on neural networks are not fully understood.
- Existing research has limitations in detailing the neural mechanisms underlying tES-induced changes.
- High temporal resolution is needed to capture dynamic brain activity modulations.
Purpose of the Study:
- To present novel knowledge on the combined use of tES and electroencephalography (EEG).
- To explore how co-registered tES-EEG can elucidate tES effects on neural networks.
- To demonstrate the potential of this integrated approach for understanding human brain function dynamics.
Main Methods:
- Co-registration of transcranial electrical stimulation (tES) and electroencephalography (EEG).
- Utilizing high temporal resolution data from combined tES-EEG.
- Analyzing tES-induced modifications and modulations in cortical activity.
Main Results:
- The combined tES-EEG approach provides detailed insights into neural mechanisms.
- High temporal resolution data reveals dynamic changes in cortical activity.
- This method offers a deeper understanding than tES or EEG alone.
Conclusions:
- The co-registration of tES and EEG is an innovative method for studying brain function.
- This approach significantly enhances the understanding of tES effects on neural networks.
- It opens new possibilities for investigating the dynamics of human brain activity.
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