Independent component analysis (ICA) has been used effectively for processing the functional magnetic resonance imaging (fMRI) data, but usually the data come from one subject. To process the signals from a group of subjects, an extended independent component analysis method, Group ICA is proposed. The results show that this method can reduce the data and receive the statistical result fast. In the processing, an independent component analysis method named new fixed-point is used, and the results show that the new method is superior to the FastICA on the accuracy of estimating the temporal dynamics of activations.
|Number of pages||4|
|Journal||Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology|
|State||Published - Sep 2007|
- Blind source separation
- Functional magnetic resonance imaging
- Independent component analysis