Paper Info
Title
High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method
Abstract
Localization of electrical brain activity via electroencephalography (EEG) remains a challenging task in traumatic brain injury (TBI) patients, partly due to the complexity of structural brain changes resulting from neurological insult. When localizing EEG-recorded brain activity, the failure to account for pathology-related changes in tissue conductivities may cause forward model inaccuracies which translate into large localization errors. Here, the effects of TBI-related pathology upon the accuracy of the EEG forward matrix are explored in the context of a realistic finite element method (FEM) model of the head with 25 tissue types. It is found that the omission of TBI pathology from the anatomical model can lead to substantial inaccuracies in the calculation of the forward matrix, with EEG lead field focality being underestimated by as much as ~90% if TBI-related conductivity changes are ignored. Our study is the first to rigorously quantify the extent to which TBI-related pathology can affect forward EEG calculations.
Year
DOI
Venue
2013
10.1109/ISBI.2013.6556643
Biomedical Imaging
Keywords
Field
DocType
diseases,electroencephalography,finite element analysis,injuries,medical image processing,neurophysiology,EEG forward matrix,FEM model,TBI-related pathology,electrical brain activity localization,high-resolution electroencephalographic forward modeling,image processing,neurological insult,realistic finite element method,tissue conductivity,traumatic brain injury,electroencephalography,epilepsy,finite element method,traumatic brain injury
Pattern recognition,Neurophysiology,Computer science,Brain activity and meditation,Finite element method,Artificial intelligence,Electrical brain activity,Traumatic brain injury,Electroencephalography
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4673-6456-0
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
S. Y. Matt Goh131.05
Andrei Irimia25710.84
Carinna M. Torgerson3282.35
Ron Kikinis467231071.86
Paul M Vespa5235.19
John D Van Horn631628.50