Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis
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 re...
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| creator | Kalyakin, I. Gonzalez, N. Lyytinen, H. |
| description | 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. |
| doi_str_mv | 10.1109/CBMS.2008.72 |
| format | Conference Proceeding |
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Due to this improvement, the ICA decomposition procedure might allow to shorten the recording session of the MMN.</description><subject>Acoustic noise</subject><subject>clustering</subject><subject>Clustering algorithms</subject><subject>Data mining</subject><subject>Enterprise resource planning</subject><subject>Humans</subject><subject>Independent component analysis</subject><subject>Information technology</subject><subject>mismatch negativity</subject><subject>Protocols</subject><subject>Psychology</subject><subject>Signal to noise ratio</subject><issn>1063-7125</issn><isbn>9780769531656</isbn><isbn>0769531652</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjMFOAjEURZuoiYjs3LnpDwy-ttN2usQJKgmoibByQd50HlDDzJBpo_L3YnRzz0lOchm7ETAWAtxdeb94G0uAYmzlGRs5W4A1TithtDlnAwFGZVZIfcmuYvwAgNwKNWDv0-_Uo0-ha3m34WlHfBFig8nv-DNtMYXPkI78VJdfHX_FHuuwbSJfxdBu-ayt6UCnaRMvu-bQtb82aXF_jCFes4sN7iON_jlkq4fpsnzK5i-Ps3Iyz4KwOmUerEPvBXon8zp3tvJSVxXltkBfyUKoOgckMmCMspKs0KaoEOoNFcpArYbs9u83ENH60IcG--M610Y4bdQPhxRS5w</recordid><startdate>200806</startdate><enddate>200806</enddate><creator>Kalyakin, I.</creator><creator>Gonzalez, N.</creator><creator>Lyytinen, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200806</creationdate><title>Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis</title><author>Kalyakin, I. ; Gonzalez, N. ; Lyytinen, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c079acc1ac924d497bc25bbe478acb2813d40aee6066372e71568ba0dfe8360d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acoustic noise</topic><topic>clustering</topic><topic>Clustering algorithms</topic><topic>Data mining</topic><topic>Enterprise resource planning</topic><topic>Humans</topic><topic>Independent component analysis</topic><topic>Information technology</topic><topic>mismatch negativity</topic><topic>Protocols</topic><topic>Psychology</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Kalyakin, I.</creatorcontrib><creatorcontrib>Gonzalez, N.</creatorcontrib><creatorcontrib>Lyytinen, H.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kalyakin, I.</au><au>Gonzalez, N.</au><au>Lyytinen, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis</atitle><btitle>2008 21st IEEE International Symposium on Computer-Based Medical Systems</btitle><stitle>CBMS</stitle><date>2008-06</date><risdate>2008</risdate><spage>59</spage><epage>64</epage><pages>59-64</pages><issn>1063-7125</issn><isbn>9780769531656</isbn><isbn>0769531652</isbn><abstract>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.</abstract><pub>IEEE</pub><doi>10.1109/CBMS.2008.72</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008, p.59-64 |
| issn | 1063-7125 |
| language | eng |
| recordid | cdi_ieee_primary_4561956 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acoustic noise clustering Clustering algorithms Data mining Enterprise resource planning Humans Independent component analysis Information technology mismatch negativity Protocols Psychology Signal to noise ratio |
| title | Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis |
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