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Cortical Source Analysis of High-Density EEG Recordings in Children
Published on: June 30, 2014
Pitfalls in the dipolar model for the neocortical EEG sources
Jorge J Riera1, Takeshi Ogawa, Takakuni Goto
1Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. riera@idac.tohoku.ac.jp
Journal of Neurophysiology
|April 28, 2012
Summary
The electroencephalogram (EEG) model, long assumed dipolar, needs revision. This study reveals that monopolar components, not just dipoles, are crucial for accurately representing neural current sources in rodent neocortex.
Area of Science:
- Neuroscience
- Biophysics
Background:
- The electroencephalogram (EEG) is a key tool for studying brain activity.
- For decades, EEG current sources have been modeled as dipolar.
- This model's biophysical accuracy requires re-evaluation.
Purpose of the Study:
- To revise the biophysical foundations of the EEG dipolar model.
- To investigate the nature of intracortical current sources.
- To assess the contribution of monopolar components to EEG signals.
Main Methods:
- Electrophysiological recordings in anesthetized Wistar rats.
- Three-dimensional extracellular potential recordings in the barrel field.
- Estimation of intracortical multipolar moments from single neurons and neuronal populations.
- Concurrent high-resolution skull EEG and laminar local field potential recordings.
- EEG inverse solutions (multiple dipole fitting, distributed) to estimate equivalent dipoles.
Main Results:
- Backpropagating spikes in pyramidal cells generated significant dipolar components.
- Spiny stellate cells exhibited negligible dipolar moments.
- Detectable monopolar field components were found at single-unit and mesoscopic levels.
- Mesoscopic multipolar components were absorbed by equivalent dipoles in EEG inverse solutions.
Conclusions:
- The single equivalent dipole model is insufficient for precisely representing rodent neocortical EEG sources.
- Monopolar components are significant at the mesoscopic level and must be considered.
- A revised biophysical model of EEG generation is needed.

