title: A radial-basis function based surface Laplacian estimate for a realistic head model.
abstract: Scalp surface Laplacian (SL) is widely used to enhance spatial resolution and sensitivity for electroencephalograph (EEG) recordings. In this paper, a radial-basis function (RBF) based surface Laplacian (RBFL) estimate is proposed for realistic head model, in which RBF is used as basis function to interpolate the surface of a head model and the surface potentials. The efficiency of RBFL was confirmed through a comparative study to the global realistic geometry spline Laplacian (GSL) with both simulation studies and human visual evoked potential. The simulations include both feasibility in a 3-concentric sphere head model and influence of head model noise and potential noise, effects of border source and sources separation distance in a realistic head model. All the comparisons show RBFL can provide comparatively better results than GSL and hence RBFL provide another efficient method for high-resolution EEG mapping.
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Cheng China.
authors.forename: Yiran
authors.initials: Y
authors.lastname: Zhai
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology; D005240:Feasibility Studies; D006257:Head / Q000033:anatomy & histology*; D008953:Models, Anatomic; D008959:Models, Neurological; D016011:Normal Distribution; D010775:Photic Stimulation; D011930:Reaction Time / Q000502:physiology