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EEG Revisited-Neuronal, Glial, and Network Mechanisms Across Scales
Jan Kudlacek1, Christos Panagiotis Lisgaras2,3, John G R Jefferys1,4
1Department of Physiology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
Summary
Electroencephalography (EEG) offers a mechanistic view of brain activity by integrating cellular and biophysical principles. This review explores EEG generation, from neuronal activity to glial networks, highlighting its broad temporal range for brain research.
Area of Science:
- Neuroscience
- Biophysics
- Computational Neuroscience
Background:
- Electroencephalography (EEG) interpretation has historically been empirical, lacking mechanistic understanding.
- Advances in neurophysiology and computational modeling necessitate a modern re-evaluation of EEG foundations.
Purpose of the Study:
- To provide a mechanistic perspective on EEG generation by integrating cellular and biophysical principles.
- To explore the cellular and network mechanisms underlying various EEG frequency bands, including high-frequency oscillations and infra-slow fluctuations.
- To discuss the clinical applications and future potential of EEG in understanding brain function and disease.
Main Methods:
- Review of cellular and biophysical foundations of EEG.
- Integration of neurophysiology, computational modeling, and cellular neuroscience.
- Examination of transmembrane currents, dipole formation, and spatial summation.
Main Results:
- EEG generation involves coordinated cellular and network activity, with pyramidal neurons as primary generators.
- High-frequency oscillations are linked to specific cellular and network mechanisms.
- Infra-slow fluctuations and DC shifts involve glial networks, ionic homeostasis, and spreading depolarizations.
Conclusions:
- EEG provides a unique temporal range for studying brain activity from submillisecond events to long-term changes.
- EEG-based biomarkers are emerging for neurological and psychiatric disorders.
- Technological advancements and machine learning will expand EEG's role in understanding brain mechanisms and guiding therapeutic strategies.
