Khadija Guejdad, Ali Ikrou, Camilla Strandell-Laine, Redouane Abouqal, Jihane Belayachi
Healthcare Students' Perceptions of the Quality of the Clinical Learning Environment in Morocco: A Cross-Sectional Study
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article introduces hybrid befe method solving eeg forward problem leveraging strengths boundary element method bem finite element method fem fem accurately models complex anisotropic tissue properties realistic head geometries bem excels handling isotropic tissue regions dipolar sources efficiently proposed hybrid method divides regions homogeneous boundary element regions include sources heterogeneous anisotropic finite element fe regions bem models brain including dipole sources fem models head layers validation includes inhomogeneous isotropicanisotropic three fourlayer spherical head models fourlayer mribased realistic head model results six dipole eccentricities two orientations computed using bem fem hybrid befe method statistical analysis comparing error criteria rdm mag reveals notable improvements using hybrid febe method spherical head model hybrid befe method compared fem demonstrates enhancements least 105 3831 rdm mag criteria respectively notably anisotropic fourlayer head model improvements reach maximum 883 rdm 9327 mag fem moreover anisotropic fourlayer realistic head model proposed hybrid method exhibits 554 improvement rdm 893 improvement mag compared fem findings underscore proposed method promising approach solving realistic eeg forward problems advancing neuroimaging techniques enhancing understanding brain function