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pubmed-article:15046247pubmed:dateCreated2004-3-29lld:pubmed
pubmed-article:15046247pubmed:abstractTextTemporal self-correlation has recentlybeen proposed as a measure for fMRI-activation detection. In this paper, a modified temporal self-correlation method is introduced. The modified temporal self-correlation is based on the expectation value and standard deviation of the correlation coefficients between all pairs of epochs, while the original temporal self-correlation method is only based on the expectation value. Performance of the proposed method is evaluated on both simulated and in vivo fMRI data. Compared with the original temporal self-correlation method, the proposed method shows a significant improvement. In addition, a technique for quantitative comparison of different fMRI data analysis methods is proposed.lld:pubmed
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pubmed-article:15046247pubmed:issn1539-2791lld:pubmed
pubmed-article:15046247pubmed:authorpubmed-author:JiangTianziTlld:pubmed
pubmed-article:15046247pubmed:authorpubmed-author:ZangYufengYlld:pubmed
pubmed-article:15046247pubmed:authorpubmed-author:LuYingliYlld:pubmed
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pubmed-article:15046247pubmed:pagination259-69lld:pubmed
pubmed-article:15046247pubmed:dateRevised2006-11-15lld:pubmed
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pubmed-article:15046247pubmed:year2003lld:pubmed
pubmed-article:15046247pubmed:articleTitleA modified temporal self-correlation method for analysis of fMRI time series.lld:pubmed
pubmed-article:15046247pubmed:affiliationNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China.lld:pubmed
pubmed-article:15046247pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:15046247pubmed:publicationTypeComparative Studylld:pubmed
pubmed-article:15046247pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed