Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis

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

研究成果: 雜誌貢獻期刊論文同行評審

19 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 spatio-temporal 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 V1.

原文???core.languages.en_GB???
頁(從 - 到)1502-1512
頁數11
期刊Neurocomputing
69
發行號13-15
DOIs
出版狀態已出版 - 8月 2006

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