Literature DB >> 18390339

The influence of CSF on EEG sensitivity distributions of multilayered head models.

K Wendel1, N G Narra, M Hannula, P Kauppinen, J Malmivuo.   

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.

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Year:  2008        PMID: 18390339     DOI: 10.1109/TBME.2007.912427

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  17 in total

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5.  Improved EEG source analysis using low-resolution conductivity estimation in a four-compartment finite element head model.

Authors:  Seok Lew; Carsten H Wolters; Alfred Anwander; Scott Makeig; Rob S MacLeod
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6.  The Influence of the Head Model Conductor on the Source Localization of Auditory Evoked Potentials.

Authors:  Stefania Conte; John E Richards
Journal:  Brain Topogr       Date:  2021-09-27       Impact factor: 3.020

7.  Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model.

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Journal:  PLoS One       Date:  2014-03-26       Impact factor: 3.240

Review 8.  Imaging Posture Veils Neural Signals.

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Journal:  Front Hum Neurosci       Date:  2016-10-21       Impact factor: 3.169

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Journal:  Comput Intell Neurosci       Date:  2009-07-20

10.  Effects of forward model errors on EEG source localization.

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Journal:  Brain Topogr       Date:  2013-01-26       Impact factor: 3.020

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