@CONFERENCE\{IMM2000-0829, author = "K. Petersen and L. K. Hansen and T. Kolenda and E. Rostrup", title = "On the Independent Components of Functional Neuroimages", year = "2000", keywords = "Independent componenet analysis, Molgedey-Schuster, Brain imageing", pages = "615-620", booktitle = "Third International Conference on Independent Component Analysis and Blind Source Separation", volume = "", series = "", editor = "", publisher = "", organization = "", address = "", url = "http://www2.compute.dtu.dk/pubdb/pubs/829-full.html", abstract = "We discuss the application of {ICA} procedures to fMRI (functional Magnetic Resonance Imaging) sequences. While principal component analysis can identify activation patterns that are uncorrelated in both space and time {ICA} can identify events that are independent in either time or space. We show that the activation related components found by either spatial or temporal independency are consistent, hence robust to choice of spatial or temporal separation and to choice of {ICA} approach. We discuss these issues in the context of three {ICA} algorithms applied to an fMRI visual activation study." }