Investigations into resting-state connectivity using independent component analysis.
Inferring resting-state connectivity patterns from functional magnetic resonance imaging (fMRI) data is a challenging task for any analytical technique. In this paper, we review a probabilistic independent component analysis (PICA) approach, optimized for the analysis of fMRI data, and discuss the r...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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