Localization of cortico-peripheral coherence with electroencephalography

Area of Science:

• Neuroscience
• Brain Imaging
• Electrophysiology

Background:

• Functional MRI and magnetoencephalography reveal neural network insights.
• Assessing high-resolution electroencephalography (EEG) for coherent cortical network localization.

Purpose of the Study:

• To evaluate the accuracy of EEG in localizing coherent cortical networks.
• To compare different inverse solutions for EEG-based source localization.

Main Methods:

• EEG recorded from healthy subjects and patients during motor and visual tasks.
• Cortical oscillations reconstructed using inverse solutions; coherence with extracerebral signals calculated.
• Simulations of coherent point sources performed to validate methods.

Main Results:

• EEG correctly localized cortico-muscular coherence to the motor cortex and visual evoked potentials to the visual cortex.
• Sophisticated head models improved localization accuracy over single sphere models.
• Minimum Variance Beamformer (MVBF) offered more accurate and focal localization than L2 Minimum Norm (MN) for simulated sources.

Conclusions:

• High-resolution EEG is capable of localizing coherent cortical networks with adequate precision.
• The findings support EEG as a viable tool for studying brain network dynamics.