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2008 21st IEEE International Symposium on Computer-Based Medical Systems
Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis
June 17-June 19
ISBN: 978-0-7695-3165-6
ASCII Text
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Igor Kalyakin, Narciso Gonz?lez, Heikki Lyytinen, "Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis," Computer-Based Medical Systems, IEEE Symposium on, pp. 59-64, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008.
 
 
BibTex
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@article{ 10.1109/CBMS.2008.72,
author = {Igor Kalyakin and Narciso Gonz?lez and Heikki Lyytinen},
title = {Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2008},
issn = {1063-7125},
pages = {59-64},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.72},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis
SN - 1063-7125
SP59
EP64
A1 - Igor Kalyakin,
A1 - Narciso Gonz?lez,
A1 - Heikki Lyytinen,
PY - 2008
KW - mismatch negativity
KW - independent component analysis
KW - clustering
KW - signal-to-noise ratio
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
We compare the efficiency of the independent component analysis (ICA) decomposition procedure against the difference wave (DW) procedure in the analysis of the mismatch negativity (MMN). The comparison was made using two different experimental paradigms under a passive oddball protocol. The event related potential (ERP) recordings were decomposed into the MMN-like and non-MMN-like independent components (ICs) through the FastICA algorithm. Algorithmic reliability of estimated ICs was assessed by the clustering and visualizing tool from the ICASSO software package. The ICA decomposition procedure allowed to extract a cleaner MMN compared to the DW procedure. Mean improvement of the single trial signal-to-noise ratio (SNR) of the MMN was 9.71 and 6.28 dB in the two examined paradigms. Due to this improvement, the ICA decomposition procedure might allow to shorten the recording session of the MMN.
Index Terms:
mismatch negativity, independent component analysis, clustering, signal-to-noise ratio
Citation:
Igor Kalyakin, Narciso Gonz?lez, Heikki Lyytinen, "Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis," cbms, pp.59-64, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
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