DocumentCode
979558
Title
The Influence of CSF on EEG Sensitivity Distributions of Multilayered Head Models
Author
Wendel, K. ; Narra, N.G. ; Hannula, M. ; Kauppinen, P. ; Malmivuo, J.
Author_Institution
Tampere Univ. of Technol., Tampere
Volume
55
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
1454
Lastpage
1456
Abstract
We examined how the cerebrospinal fluid (CSF) affects the distribution of electroencephalogram (EEG) measurement sensitivity. We used concentric spheres and realistic head models to investigate the difference between computed-tomography (CT) and magnetic resonance image (MRI) models that exclude the CSF layer. The cortical EEG sensitivity distributions support these phenomena and show that the CSF layer significantly influences them, thus identifying the importance of including the CSF layer inside the head volume conductor models. The results show that the highly conductive CSF channels the current, thus decreasing the maximum cortical current density relative to models that do not include the CSF. We found that the MRI and CT models yielded HSV results 20% and 45%, respectively, too small when compared with CSF-inclusive models.
Keywords
bioelectric phenomena; biomedical MRI; biomedical measurement; computerised tomography; current density; diagnostic radiography; electroencephalography; neurophysiology; physiological models; EEG measurement sensitivity distribution; computed-tomography models; concentric spherical head model; conductive CSF channels; cortical current density; electroencephalogram; magnetic resonance image models; multilayered head volume conductor models; realistic head models; Brain modeling; Computed tomography; Conductors; Current density; Electroencephalography; Image segmentation; Magnetic heads; Magnetic resonance; Magnetic resonance imaging; Scalp; Skull; CSF; Conductivity; EEG; Sensitivity distribution; cerebrospinal fluid (CSF); conductivity; electroencephalogram (EEG); lead field current density; sensitivity distribution; volume conductor; Artifacts; Brain; Brain Mapping; Cerebrospinal Fluid; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Head; Humans; Models, Biological; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2007.912427
Filename
4384304
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