Dezhong Yao1. 1. School of Life Science & Technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China. dyao@ustc.edu.cn
Abstract
OBJECTIVES: The present study addressed a new scalp Laplacian mapping (LM) algorithm. METHODS: Using a radial-basis function (RBF) as the interpolation basis function, and the smallest arc length on the surface of a spherical head model as the distance measure between two measurement sites, a new RBF based approach to LM is formulated. RESULTS: With simulated data and empirical data, comparison between the new RBF based approach and the spherical spline function (SSF) based approach was conducted in a 4-concentric spheres head model, and the results show that the RBF based approach is better than the SSF based approach to LM. CONCLUSIONS: The new RBF based approach to LM provides an additional efficient way for the neural electrical activities imaging.
OBJECTIVES: The present study addressed a new scalp Laplacian mapping (LM) algorithm. METHODS: Using a radial-basis function (RBF) as the interpolation basis function, and the smallest arc length on the surface of a spherical head model as the distance measure between two measurement sites, a new RBF based approach to LM is formulated. RESULTS: With simulated data and empirical data, comparison between the new RBF based approach and the spherical spline function (SSF) based approach was conducted in a 4-concentric spheres head model, and the results show that the RBF based approach is better than the SSF based approach to LM. CONCLUSIONS: The new RBF based approach to LM provides an additional efficient way for the neural electrical activities imaging.
Authors: Dezhong Yao; Yun Qin; Shiang Hu; Li Dong; Maria L Bringas Vega; Pedro A Valdés Sosa Journal: Brain Topogr Date: 2019-04-29 Impact factor: 3.020