caa a22 4500 445304413 CHVBK 20180317142608.0 cr unu---uuuuu 170323e20100601xx s 000 0 eng 10.1007/s13246-010-0015-7 doi (NATIONALLICENCE)springer-10.1007/s13246-010-0015-7 Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling [Elektronische Daten] [M. Bashar, Y. Li, P. Wen] The accuracy of an electroencephalography (EEG) forward problem partially depends on the head tissue conductivities. These conductivities are anisotropic and inhomogeneous in nature. This paper investigates the effects of conductivity uncertainty and analyses its sensitivity on an EEG forward problem for a spherical and a realistic head models. We estimate the uncertain conductivities using an efficient constraint based on an optimization method and perturb it by means of the volume and directional constraints. Assigning the uncertain conductivities, we construct spherical and realistic head models by means of a stochastic finite element method for fixed dipolar sources. We also compute EEG based on the constructed head models. We use a probabilistic sensitivity analysis method to determine the sensitivity indexes. These indexes characterize the conductivities with the most or the least effects on the computed outputs. These results demonstrate that conductivity uncertainty has significant effects on EEG. These results also show that the uncertain conductivities of the scalp, the radial direction of the skull and transversal direction in the white matter are more sensible. Australasian College of Physical Scientists and Engineers in Medicine, 2010 Conductivity uncertainty nationallicence Probabilistic sensitivity analysis nationallicence Stochastic finite element method nationallicence EEG nationallicence Forward problem nationallicence Bashar M. Department of Mathematics and Computing, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia aut Li Y. Department of Mathematics and Computing, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia aut Wen P. Faculty of Engineering and Surveying, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia aut Australasian Physical & Engineering Sciences in Medicine Springer Netherlands 33/2(2010-06-01), 145-152 0158-9938 33:2<145 2010 33 13246 https://doi.org/10.1007/s13246-010-0015-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13246-010-0015-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bashar M. Department of Mathematics and Computing, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia aut NATIONALLICENCE 700 1- Li Y. Department of Mathematics and Computing, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia aut NATIONALLICENCE 700 1- Wen P. Faculty of Engineering and Surveying, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia aut NATIONALLICENCE 773 0- Australasian Physical & Engineering Sciences in Medicine Springer Netherlands 33/2(2010-06-01), 145-152 0158-9938 33:2<145 2010 33 13246 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer