Independent Component Analysis (ICA) has recently drawn attention also in analyzing data from functional Magnetic Resonance Imaging (fMRI). fMRI is a promis- ing method to determine noninvasively the spatial dis- tribution of brain activity in a given situation, e.g. in response to a given stimulus. ICA reflects the underly- ing statistically independent processes of the activity. We compare the results of applying both, temporal and spatial ICA, on the data of a motor task experi- ment. It turns out that none of the two ways is a priori superior over the other, so in order to get fuller insight into the activity distribution both should be applied and their implications be determined from the features of interest in the results.
|Title of host publication||Proceedings of ICA2000, the Second International Conference on Independent Component Analysis and Signal Separation|
|Number of pages||6|
|Publication status||Published - 2000|