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Improving EEG forward modeling using high-resolution five-layer BEM-FMM head models: effect on source reconstruction accuracy

Electroencephalographic (EEG) source localization is a fundamental tool for clinical diagnoses and brain-computer interfaces. We investigate the impact of model complexity on reconstruction accuracy by comparing the widely used three-layer boundary element method (BEM) as an inverse method against a…
Basel: MDPI, 2024-10-26