@inproceedings{a8d02edb0fd54ede937cffe710c933c7,
title = "Back-projected cortical potential imaging for monitoring and stimulation tools",
abstract = "In this work, a new cortical potential imaging (CPI) method is presented. The potential distribution on the scalp is back-projected to the cortex surface using an electrostatic propagation mechanism. Combining the information from MRI derived realistic head conductivity model and the ability of the surface Laplacian (SL) to estimate the cortical normal currents, together with the finite element method (FEM) we illustrate the back-projection CPI (BP-CPI) which gives a simple, fast, high-resolution and accurate CPI, solved in only one iteration. In this paper we describe the new method and show simulative validation results. The BP-CPI was designed for easy integration with monitoring and stimulation tools for better understanding the underlying cortical activity.",
keywords = "CPI, EEG, FEM, Realistic head model, SL",
author = "Dror Haor and Reuven Shavit and Amir Geva",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, COMCAS 2015 ; Conference date: 02-11-2015 Through 04-11-2015",
year = "2015",
month = dec,
day = "17",
doi = "10.1109/COMCAS.2015.7360416",
language = "English",
series = "2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, COMCAS 2015",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, COMCAS 2015",
address = "United States",
}