Comparison of separation performance of ICA algorithms for fMRI data

What is it about?

As in filter operation we keep things of our interest, ICA does the same. Many ICA algorithms have developed already. Every ICA is not capable to work on various datasets, i.e. natural images, audio, medical images. In this article we have compared ICA particularly on fMRI datasets.

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Why is it important?

There are many modalities to understand the brain noninvasively and functional MRI is one of the most imerging modality.The ICA is a preferable tool to inspect fMRI images. Its better to know that which ICA is best among the existing.