Effects of head models and dipole source parameters on EEG fields.

Area of Science:

• Biomedical Engineering
• Computational Neuroscience
• Medical Imaging

Background:

• Accurate head models and efficient forward electroencephalography (EEG) problem computation are critical for dipole source localization (DSL).
• Investigating the impact of head geometry and source parameters on EEG is essential for improving DSL accuracy.

Purpose of the Study:

• To approximate human head shapes using cost-effective ovoid geometries.
• To analyze the influence of head shape and dipole source parameters on EEG fields.
• To evaluate the performance of the Point Least Squares (PLS) method for solving the EEG forward problem.

Main Methods:

• Utilized ovoid head models to approximate human head geometry.
• Applied the Point Least Squares (PLS) method with a meshless approach to solve the forward EEG problem.
• Conducted numerical simulations across three distinct ovoid head models.

Main Results:

• EEG potential patterns showed similarity across different dipole positions and head shapes.
• Peak potential values were significantly affected by head shape variations.
• Dipole position strongly influenced peak potential values and their spatial shifts.
• Trigonometric basis functions in the PLS method demonstrated superior accuracy and efficiency compared to constant, linear, and quadratic bases.

Conclusions:

• Ovoid head models provide a viable approximation for studying EEG forward problems.
• Head shape is a critical factor influencing EEG potential, impacting dipole source localization.
• The PLS method, particularly with trigonometric basis functions, offers an accurate and efficient solution for the EEG forward problem.