Unraveling spatio-temporal dynamics in fMRI recordings using complex ICA

Jörn Anemüller, Jeng Ren Duann, Terrence J. Sejnowski, Scott Makeig

研究成果: 書貢獻/報告類型篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented as a spatially fixed pattern of activation, which leads to the instantaneous mixing model. To allow modeling patterns of spatiotemporal dynamics, in particular, the flow of oxygenated blood, we have developed a convolutive ICA approach: spatial complex ICA applied to frequency-domain fMRI data. In several frequency-bands, we identify components pertaining to activity in primary visual cortex (V1) and blood supply vessels. One such component, obtained in the 0.10-Hz band, is analyzed in detail and found to likely reflect flow of oxygenated blood in V11.

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主出版物標題Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編輯Carlos G. Puntonet, Alberto Prieto
發行者Springer Verlag
頁面1103-1110
頁數8
ISBN(電子)3540230564, 9783540230564
DOIs
出版狀態已出版 - 2004

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3195
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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