Literature DB >> 17271283

Study on the spatial resolution of EEG--effect of electrode density and measurement noise.

O Ryynänen1, J Hyttinen, J Malmivuo.   

Abstract

The spatial resolution of electroencephalography (EEG) is studied by means of inverse cortical EEG solution. Special attention is paid to the effect of electrode density and the effect of measurement noise on the spatial resolution. A three-layer spherical head model is used as a volume conductor to obtain the source-field relationship of cortical potentials and scalp potential field. Effect of measurement noise is evaluated with truncated singular value decomposition (TSVD). Also simulations about different electrode systems' ability to separate cortical sources are performed. The results show that as the measurement noise increases the advantage of dense electrode systems decreases. Our results suggest that in clinical measurement environment it is always beneficial to use at least 64 measurement electrodes. In low-noise realistic measurement environment the use of even 256 measurement electrodes is beneficial.

Entities:  

Year:  2004        PMID: 17271283     DOI: 10.1109/IEMBS.2004.1404226

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

Review 1.  A Review of the Effectiveness of Neuroimaging Modalities for the Detection of Traumatic Brain Injury.

Authors:  Franck Amyot; David B Arciniegas; Michael P Brazaitis; Kenneth C Curley; Ramon Diaz-Arrastia; Amir Gandjbakhche; Peter Herscovitch; Sidney R Hinds; Geoffrey T Manley; Anthony Pacifico; Alexander Razumovsky; Jason Riley; Wanda Salzer; Robert Shih; James G Smirniotopoulos; Derek Stocker
Journal:  J Neurotrauma       Date:  2015-09-30       Impact factor: 5.269

2.  Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter.

Authors:  Narayan P Subramaniyam; Outi Rm Väisänen; Katrina E Wendel; Jaakko Av Malmivuo
Journal:  Nonlinear Biomed Phys       Date:  2010-06-03

3.  Very high density EEG elucidates spatiotemporal aspects of early visual processing.

Authors:  Amanda K Robinson; Praveen Venkatesh; Matthew J Boring; Michael J Tarr; Pulkit Grover; Marlene Behrmann
Journal:  Sci Rep       Date:  2017-11-24       Impact factor: 4.379

4.  Virtual EEG: A Software-Based Electroencephalogram Designed for Undergraduate Neuroscience-Related Courses.

Authors:  Benjamin R Miller; Melissa Troyer; Thomas Busey
Journal:  J Undergrad Neurosci Educ       Date:  2008-10-15
  4 in total

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